# text.div
Generated Narrative: ValueSet statistic-type

Last updated: 2024-04-24 00:00:00+0000

Profile: Shareable ValueSet

Include these codes as defined in https://fevir.net/sevco version 📍2.0

Code | Display | Definition | Definition (core metadata concept) | Synonym (core metadata concept)
STATO:0000668 | absolute value | A statistic that represents the distance of a value from zero. | A statistic that represents the distance of a value from zero. |
STATO:0000047 | count | A statistic that represents the number of instances or occurrences of something. | A statistic that represents the number of instances or occurrences of something. |
STATO:0000669 | sum | A statistic that represents the result of adding all the values in a collection of values. | A statistic that represents the result of adding all the values in a collection of values. | total
STATO:0000151 | maximum observed value | A statistic that represents the largest non-null value in a collection of values that can be ordered by magnitude. | A statistic that represents the largest non-null value in a collection of values that can be ordered by magnitude. |
STATO:0000150 | minimum observed value | A statistic that represents the smallest non-null value in a collection of values that can be ordered by magnitude. | A statistic that represents the smallest non-null value in a collection of values that can be ordered by magnitude. |
STATO:0000666 | maximum possible value | A statistic that represents the largest value that could occur. | A statistic that represents the largest value that could occur. |
STATO:0000667 | minimum possible value | A statistic that represents the smallest value that could occur. | A statistic that represents the smallest value that could occur. |
STATO:0000291 | quantile | A statistic that represents the value for which the number of data points at or below it constitutes a specific portion of the total number of data points. | A statistic that represents the value for which the number of data points at or below it constitutes a specific portion of the total number of data points. |
STATO:0000613 | difference | A statistic that is a subtraction of one quantity from another. | A statistic that is a subtraction of one quantity from another. | delta
STATO:0000573 | mean | A measure of central tendency calculated as the sum of a set of values divided by the number of values in the set. | A measure of central tendency calculated as the sum of a set of values divided by the number of values in the set. | statistical mean
STATO:0000664 | mean of differences | A mean of values in which each value is the subtraction of one quantity from another. | A mean of values in which each value is the subtraction of one quantity from another. | average difference
STATO:0000658 | mean time-to-event | A mean of values in which each value is the duration of time between the start of observation and the occurrence of an event. | A mean of values in which each value is the duration of time between the start of observation and the occurrence of an event. | mean TTE
STATO:0000396 | geometric mean | A measure of central tendency calculated as the nth root of the product of all of the observations in a data set (n being the number of all observations). | A measure of central tendency calculated as the nth root of the product of all of the observations in a data set (n being the number of all observations). |
STATO:0000574 | median | A measure of central tendency equal to the middle value (or mean of the two middle values) of a set of ordered data. | A measure of central tendency equal to the middle value (or mean of the two middle values) of a set of ordered data. | middle value
STATO:0000659 | median time-to-event | A median of values in which each value is the duration of time between the start of observation and the occurrence of an event. | A median of values in which each value is the duration of time between the start of observation and the occurrence of an event. | median TTE
STATO:0000033 | mode | A measure of central tendency that is the most frequently occurring value in a data set. If no value is repeated, there is no mode. If more than one value occurs with the same greatest frequency, each of these values is a mode. | A measure of central tendency that is the most frequently occurring value in a data set. If no value is repeated, there is no mode. If more than one value occurs with the same greatest frequency, each of these values is a mode. | most frequent value
STATO:0000397 | harmonic mean | A measure of central tendency calculated by dividing the total number of observations by the sum of the reciprocals of each observed value. | A measure of central tendency calculated by dividing the total number of observations by the sum of the reciprocals of each observed value. |
STATO:0000293 | percentile | A quantile in which the specific portion of the number of data points is expressed as a percentage. | A quantile in which the specific portion of the number of data points is expressed as a percentage. | %ile
STATO:0000292 | decile | A quantile in which the specific portion of the number of data points is expressed as a number of tenths. | A quantile in which the specific portion of the number of data points is expressed as a number of tenths. |
STATO:0000152 | quartile | A quantile in which the specific portion of the number of data points is expressed as a number of fourths. | A quantile in which the specific portion of the number of data points is expressed as a number of fourths. |
STATO:0000167 | first quartile | A quantile for which the number of data points at or below it constitutes a 25% of the total number of data points. | A quantile for which the number of data points at or below it constitutes a 25% of the total number of data points. |
STATO:0000170 | third quartile | A quantile for which the number of data points at or below it constitutes a 75% of the total number of data points. | A quantile for which the number of data points at or below it constitutes a 75% of the total number of data points. |
STATO:0000614 | absolute difference | A statistic that is a subtraction of one quantity from another, with no modification of the resulting value. | A statistic that is a subtraction of one quantity from another, with no modification of the resulting value. |
STATO:0000616 | count difference | A statistic that is a subtraction of one count from another. | A statistic that is a subtraction of one count from another. | number difference
STATO:0000457 | difference in means | A statistic that is a subtraction of one mean from another. | A statistic that is a subtraction of one mean from another. | difference of means
STATO:0000617 | difference in medians | A statistic that is a subtraction of one median from another. | A statistic that is a subtraction of one median from another. | difference of medians
STATO:0000424 | risk difference | A measure of association that is the subtraction of the risk of an event in one group from the risk of the same event in another group. | A measure of association that is the subtraction of the risk of an event in one group from the risk of the same event in another group. | ARD
STATO:0000665 | difference-in-differences | A statistic that is a subtraction of one difference from another. | A statistic that is a subtraction of one difference from another. | difference in differences
STATO:0000615 | relative difference | A statistic that is a difference between 1 and a ratio of the two quantities being compared. | A statistic that is a difference between 1 and a ratio of the two quantities being compared. |
STATO:0000625 | relative mean difference | A statistic that is a difference between 1 and a ratio of the two mean values being compared. | A statistic that is a difference between 1 and a ratio of the two mean values being compared. |
STATO:0000626 | relative risk difference | A statistic that is a difference between 1 and a ratio of the two risk values being compared. | A statistic that is a difference between 1 and a ratio of the two risk values being compared. |
STATO:0000100 | standardized mean difference | A statistic that is a difference between two means, divided by a statistical measure of dispersion. | A statistic that is a difference between two means, divided by a statistical measure of dispersion. | smd
STATO:0000618 | Cohen’s d statistic | A standardized mean difference which is calculated as a difference between two means, divided by a square root of an average of the variances of the two groups. | A standardized mean difference which is calculated as a difference between two means, divided by a square root of an average of the variances of the two groups. |
STATO:0000135 | strictly standardized mean difference | A standardized mean difference which is calculated as a difference between two means, divided by the standard error of the difference between the two means. | A standardized mean difference which is calculated as a difference between two means, divided by the standard error of the difference between the two means. | ssmd
STATO:0000319 | Hedges’s g | A standardized mean difference which is calculated as a difference between two means, divided by the pooled standard deviation. | A standardized mean difference which is calculated as a difference between two means, divided by the pooled standard deviation. |
STATO:0000320 | Glass’s delta | A standardized mean difference which is calculated as a difference between two means (of an experimental group and a control group), divided by the standard deviation of the control group. | A standardized mean difference which is calculated as a difference between two means (of an experimental group and a control group), divided by the standard deviation of the control group. |
STATO:0000635 | number needed to treat | A statistic that represents the number of units that needs to be treated to prevent one additional undesired outcome. The Number Needed to Treat is calculated as the reciprocal of a treatment effect estimate, where the effect estimate is expressed as a risk difference. | A statistic that represents the number of units that needs to be treated to prevent one additional undesired outcome. The Number Needed to Treat is calculated as the reciprocal of a treatment effect estimate, where the effect estimate is expressed as a risk difference. | NNTB
STATO:0000637 | number needed to screen to detect | A statistic that represents the number of units that needs to be tested to identify one additional case. The Number Needed to Screen to Detect is calculated as the reciprocal of a difference in rate of detected cases with and without screening. | A statistic that represents the number of units that needs to be tested to identify one additional case. The Number Needed to Screen to Detect is calculated as the reciprocal of a difference in rate of detected cases with and without screening. | NNS
STATO:0000636 | number needed to screen to prevent | A statistic that represents the number of units that needs to be tested to prevent one additional adverse outcome, assuming that positive testing will lead to preventive intervention. The Number Needed to Screen to Prevent is calculated as the Number Needed to Treat divided by the prevalence. | A statistic that represents the number of units that needs to be tested to prevent one additional adverse outcome, assuming that positive testing will lead to preventive intervention. The Number Needed to Screen to Prevent is calculated as the Number Needed to Treat divided by the prevalence. | NNS
STATO:0000638 | number needed to harm | A statistic that represents the number of units that, if treated or exposed to the intervention, to lead to one additional undesired outcome. The Number Needed to Harm is calculated as the reciprocal of a treatment effect estimate, where the effect estimate is expressed as a risk difference. | A statistic that represents the number of units that, if treated or exposed to the intervention, to lead to one additional undesired outcome. The Number Needed to Harm is calculated as the reciprocal of a treatment effect estimate, where the effect estimate is expressed as a risk difference. | NNTH
STATO:0000639 | percentage | A ratio that is multiplied by 100, and has the same units of measurement in the numerator and the denominator. | A ratio that is multiplied by 100, and has the same units of measurement in the numerator and the denominator. |
STATO:0000705 | measurement accuracy | A percentage in which the numerator represents the absolute value of one minus the difference between the true value and the observed value, and the denominator represents the true value. | A percentage in which the numerator represents the absolute value of one minus the difference between the true value and the observed value, and the denominator represents the true value. |
STATO:0000607 | proportion | A ratio in which the numerator represents a part, fraction or share of the amount represented by the denominator. | A ratio in which the numerator represents a part, fraction or share of the amount represented by the denominator. |
STATO:0000413 | incidence | A proportion in which the numerator represents new events. | A proportion in which the numerator represents new events. | incidence proportion
STATO:0000412 | prevalence | A proportion in which the numerator represents all events of interest (for example, both new and preexisting cases of a disease) in the population, which is represented by the denominator. | A proportion in which the numerator represents all events of interest (for example, both new and preexisting cases of a disease) in the population, which is represented by the denominator. | lifetime prevalence
STATO:0000233 | sensitivity | A proportion in which the numerator represents the detected items within the denominator that represents all items with the targeted attribute. | A proportion in which the numerator represents the detected items within the denominator that represents all items with the targeted attribute. | true positive rate
STATO:0000134 | specificity | A proportion in which the numerator represents the non-detected items within the denominator that represents all items without the targeted attribute. | A proportion in which the numerator represents the non-detected items within the denominator that represents all items without the targeted attribute. | true negative rate
STATO:0000416 | positive predictive value | A proportion in which the numerator represents the correctly detected items within the denominator that represents all items detected. | A proportion in which the numerator represents the correctly detected items within the denominator that represents all items detected. | PPV
STATO:0000619 | negative predictive value | A proportion in which the numerator represents the correctly non-detected items within the denominator that represents all items not detected. | A proportion in which the numerator represents the correctly non-detected items within the denominator that represents all items not detected. | NPV
STATO:0000621 | diagnostic yield | A proportion in which the numerator represents the correctly detected items within the denominator that represents all items tested. | A proportion in which the numerator represents the correctly detected items within the denominator that represents all items tested. |
STATO:0000620 | risk | A proportion in which the numerator represents the cases in which an event or characteristic occurs and the denominator represents all possible cases. | A proportion in which the numerator represents the cases in which an event or characteristic occurs and the denominator represents all possible cases. | probability
STATO:0000627 | odds | A ratio in which the numerator represents the probability that an event will occur and the denominator represents the probability that an event will not occur. | A ratio in which the numerator represents the probability that an event will occur and the denominator represents the probability that an event will not occur. |
STATO:0000645 | rate | A ratio in which the numerator represents any quantity and the denominator represents an interval of time. | A ratio in which the numerator represents any quantity and the denominator represents an interval of time. |
STATO:0000670 | incidence rate | A rate in which the number of new events per total at risk is divided by an interval of time. | A rate in which the number of new events per total at risk is divided by an interval of time. | average hazard rate
STATO:0000671 | hazard rate | A conditional instantaneous rate in which the numerator represents an incidence conditioned on survival to a specified time, and the denominator represents a time interval with a duration approaching zero. | A conditional instantaneous rate in which the numerator represents an incidence conditioned on survival to a specified time, and the denominator represents a time interval with a duration approaching zero. | instantaneous hazard rate
STATO:0000672 | event rate | The number of occurrences per unit of time. | The number of occurrences per unit of time. |
STATO:0000673 | event frequency rate | A ratio in which the numerator represents an event frequency and the denominator represents an interval of time. | A ratio in which the numerator represents an event frequency and the denominator represents an interval of time. |
STATO:0000674 | event frequency | A ratio in which the numerator represents a count and the denominator represents a count (without involving an interval of time). | A ratio in which the numerator represents a count and the denominator represents a count (without involving an interval of time). | frequentist probability
STATO:0000675 | density | A ratio in which the numerator represents any quantity and the denominator represents an interval of space (distance, area, or volume). | A ratio in which the numerator represents any quantity and the denominator represents an interval of space (distance, area, or volume). |
STATO:0000676 | number density | A ratio in which the numerator represents a count and the denominator represents an interval of space (distance, area, or volume). | A ratio in which the numerator represents a count and the denominator represents an interval of space (distance, area, or volume). |
STATO:0000704 | concentration | A ratio in which the numerator is a measure of the solute and the denominator is a measure of the solvent. | A ratio in which the numerator is a measure of the solute and the denominator is a measure of the solvent. |
STATO:0000622 | ratio-based measure of association | A measure of association expressed as a ratio. | A measure of association expressed as a ratio. |
STATO:0000677 | hazard ratio | A measure of association that is the ratio of the hazard rate of an event in one group to the hazard rate of the same event in another group. | A measure of association that is the ratio of the hazard rate of an event in one group to the hazard rate of the same event in another group. |
STATO:0000680 | incidence rate ratio | A measure of association that is the ratio of two incidence rates. | A measure of association that is the ratio of two incidence rates. | IRR
STATO:0000681 | standardized incidence ratio | An incidence rate ratio in which the numerator is the incidence rate in a group and the denominator is the incidence rate for a reference population. | An incidence rate ratio in which the numerator is the incidence rate in a group and the denominator is the incidence rate for a reference population. | SIR
STATO:0000182 | odds ratio | A measure of association that is the ratio of two odds. | A measure of association that is the ratio of two odds. |
STATO:0000678 | prevalence ratio | A measure of association that is the ratio of two prevalences. | A measure of association that is the ratio of two prevalences. |
STATO:0000245 | risk ratio | A measure of association that is the ratio of the risk of an event in one group to the risk of the same event in another group. | A measure of association that is the ratio of the risk of an event in one group to the risk of the same event in another group. | relative risk
STATO:0000411 | likelihood ratio positive | A measure of association that is the ratio of the probability of the test giving a positive result when testing an affected subject and the probability of the test giving a positive result when a subject is not affected. | A measure of association that is the ratio of the probability of the test giving a positive result when testing an affected subject and the probability of the test giving a positive result when a subject is not affected. | LR+
STATO:0000410 | likelihood ratio negative | A measure of association that is the ratio of the probability of the test giving a negative result when testing an affected subject and the probability of the test giving a negative result when a subject is not affected. | A measure of association that is the ratio of the probability of the test giving a negative result when testing an affected subject and the probability of the test giving a negative result when a subject is not affected. | -LR
STATO:0000415 | diagnostic accuracy | A measure of association that is the ratio of the number of correct results to the total number tested. | A measure of association that is the ratio of the number of correct results to the total number tested. | classification accuracy
STATO:0000679 | diagnostic odds ratio | A measure of association that is the ratio of the odds of a positive test in those with disease relative to the odds of a positive test in those without disease. | A measure of association that is the ratio of the odds of a positive test in those with disease relative to the odds of a positive test in those without disease. | DOR
STATO:0000524 | phi coefficient | A measure of association, ranging from -1 to 1, that measures the strength and direction of the linear relationship between two binary variables. | A measure of association, ranging from -1 to 1, that measures the strength and direction of the linear relationship between two binary variables. | Matthews correlation coefficient
STATO:0000682 | kappa | A measure of agreement among categorical assessments, corrected for chance agreement. | A measure of agreement among categorical assessments, corrected for chance agreement. | kappa statistic
STATO:0000683 | simple chance-corrected agreement coefficient | A Kappa statistic in which the expected agreement by chance is based on an assumption that all possible categories for assignment are equally likely. | A Kappa statistic in which the expected agreement by chance is based on an assumption that all possible categories for assignment are equally likely. | Brennan-Prediger agreement coefficient
STATO:0000630 | Cohen’s kappa | A Kappa statistic in which the expected agreement by chance is based on an assumption that the likelihood of each category for assignment is based on the proportion observed, and the number of raters is 2. | A Kappa statistic in which the expected agreement by chance is based on an assumption that the likelihood of each category for assignment is based on the proportion observed, and the number of raters is 2. |
STATO:0000631 | modified Cohen’s kappa for more than 2 raters | A Kappa statistic in which the expected agreement by chance is based on an assumption that the likelihood of each category for assignment is based on the proportion observed, and the number of raters is more than 2. | A Kappa statistic in which the expected agreement by chance is based on an assumption that the likelihood of each category for assignment is based on the proportion observed, and the number of raters is more than 2. |
STATO:0000629 | Scott’s pi | A Kappa statistic where the expected agreement between two raters is expressed in terms of the square of arithmetic means of marginal proportions of each assessment category. | A Kappa statistic where the expected agreement between two raters is expressed in terms of the square of arithmetic means of marginal proportions of each assessment category. |
STATO:0000632 | misclassification rate | A ratio of the number of incorrect results to the total number tested. | A ratio of the number of incorrect results to the total number tested. | misclassification error
STATO:0000628 | F1-score | A ratio representing the harmonic mean of recall and precision. | A ratio representing the harmonic mean of recall and precision. | F1-measure
STATO:0000301 | covariance | A measure of correlation that is not normalized by the variances of the variables. | A measure of correlation that is not normalized by the variances of the variables. |
STATO:0000280 | Pearson correlation coefficient | A measure of correlation, ranging from -1 to 1, that measures the strength and direction of the linear relationship between values of two continuous variables. | A measure of correlation, ranging from -1 to 1, that measures the strength and direction of the linear relationship between values of two continuous variables. | product moment correlation
STATO:0000201 | Spearman rank-order correlation coefficient | A measure of correlation, ranging from -1 to 1, that measures the strength and direction of the relationship between ranks by value of two ordinal or continuous variables, and is calculated as the Pearson correlation coefficient between the rank values. | A measure of correlation, ranging from -1 to 1, that measures the strength and direction of the relationship between ranks by value of two ordinal or continuous variables, and is calculated as the Pearson correlation coefficient between the rank values. | Spearman's rho
STATO:0000240 | Kendall correlation coefficient | A measure of correlation, ranging from -1 to 1, that measures the strength and direction of the relationship between ranks by value of two ordinal or continuous variables, and is calculated based on the difference in the number of concordant and discordant pairs of rankings divided by the number of all possible pairs of rankings. | A measure of correlation, ranging from -1 to 1, that measures the strength and direction of the relationship between ranks by value of two ordinal or continuous variables, and is calculated based on the difference in the number of concordant and discordant pairs of rankings divided by the number of all possible pairs of rankings. | Kendall's tau-b
STATO:0000612 | Goodman and Kruskal’s gamma | A measure of correlation, ranging from -1 to 1, that measures the strength and direction of the relationship between ranks by value of two ordinal or continuous variables, and is calculated based on the difference in the number of concordant and discordant pairs of rankings divided by the total number of pairs of rankings, where ties are not counted among the pairs of rankings. | A measure of correlation, ranging from -1 to 1, that measures the strength and direction of the relationship between ranks by value of two ordinal or continuous variables, and is calculated based on the difference in the number of concordant and discordant pairs of rankings divided by the total number of pairs of rankings, where ties are not counted among the pairs of rankings. | gamma coefficient
STATO:0000565 | regression coefficient | A measure of association that is used as the coefficient of an independent variable in a regression model, of the dependent variable, which is linear in its parameters. | A measure of association that is used as the coefficient of an independent variable in a regression model, of the dependent variable, which is linear in its parameters. |
STATO:0000686 | mean calibration | A measure of calibration that is the average of a function of the difference between the expected values and the observed values. | A measure of calibration that is the average of a function of the difference between the expected values and the observed values. |
STATO:0000688 | calibration intercept | A measure of calibration that is the difference between the mean expected value and the mean observed value. | A measure of calibration that is the difference between the mean expected value and the mean observed value. | calibration-in-the-large
STATO:0000687 | calibration slope | A measure of calibration that is the rate of change in the appropriately transformed value per unit change of the correspondingly transformed predicted value. | A measure of calibration that is the rate of change in the appropriately transformed value per unit change of the correspondingly transformed predicted value. | calibration-in-the-small

# copyright
This material derives from the HL7 Terminology (THO). THO is copyright ©1989+ Health Level Seven International and is made available under the CC0 designation. For more licensing information see: https://terminology.hl7.org/license. https://creativecommons.org/licenses/by-sa/4.0/ copyright holder is Scientific Knowledge Accelerator Foundation

# compose.include[].concept[].designation[].value
A statistic that represents the distance of a value from zero.

# compose.include[].concept[].designation[].value
A statistic that represents the number of instances or occurrences of something.

# compose.include[].concept[].designation[].value
A statistic that represents the result of adding all the values in a collection of values.

# compose.include[].concept[].designation[].value
A statistic that represents the largest non-null value in a collection of values that can be ordered by magnitude.

# compose.include[].concept[].designation[].value
A statistic that represents the smallest non-null value in a collection of values that can be ordered by magnitude.

# compose.include[].concept[].designation[].value
A statistic that represents the largest value that could occur.

# compose.include[].concept[].designation[].value
A statistic that represents the smallest value that could occur.

# compose.include[].concept[].designation[].value
A statistic that represents the value for which the number of data points at or below it constitutes a specific portion of the total number of data points.

# compose.include[].concept[].designation[].value
A statistic that is a subtraction of one quantity from another.

# compose.include[].concept[].designation[].value
A measure of central tendency calculated as the sum of a set of values divided by the number of values in the set.

# compose.include[].concept[].designation[].value
A mean of values in which each value is the subtraction of one quantity from another.

# compose.include[].concept[].designation[].value
A mean of values in which each value is the duration of time between the start of observation and the occurrence of an event.

# compose.include[].concept[].designation[].value
A measure of central tendency calculated as the nth root of the product of all of the observations in a data set (n being the number of all observations).

# compose.include[].concept[].designation[].value
A measure of central tendency equal to the middle value (or mean of the two middle values) of a set of ordered data.

# compose.include[].concept[].designation[].value
A median of values in which each value is the duration of time between the start of observation and the occurrence of an event.

# compose.include[].concept[].designation[].value
A measure of central tendency that is the most frequently occurring value in a data set. If no value is repeated, there is no mode. If more than one value occurs with the same greatest frequency, each of these values is a mode.

# compose.include[].concept[].designation[].value
A measure of central tendency calculated by dividing the total number of observations by the sum of the reciprocals of each observed value.

# compose.include[].concept[].designation[].value
A quantile in which the specific portion of the number of data points is expressed as a percentage.

# compose.include[].concept[].designation[].value
A quantile in which the specific portion of the number of data points is expressed as a number of tenths.

# compose.include[].concept[].designation[].value
A quantile in which the specific portion of the number of data points is expressed as a number of fourths.

# compose.include[].concept[].designation[].value
A quantile for which the number of data points at or below it constitutes a 25% of the total number of data points.

# compose.include[].concept[].designation[].value
A quantile for which the number of data points at or below it constitutes a 75% of the total number of data points.

# compose.include[].concept[].designation[].value
A statistic that is a subtraction of one quantity from another, with no modification of the resulting value.

# compose.include[].concept[].designation[].value
A statistic that is a subtraction of one count from another.

# compose.include[].concept[].designation[].value
A statistic that is a subtraction of one mean from another.

# compose.include[].concept[].designation[].value
A statistic that is a subtraction of one median from another.

# compose.include[].concept[].designation[].value
A measure of association that is the subtraction of the risk of an event in one group from the risk of the same event in another group.

# compose.include[].concept[].designation[].value
A statistic that is a subtraction of one difference from another.

# compose.include[].concept[].designation[].value
A statistic that is a difference between 1 and a ratio of the two quantities being compared.

# compose.include[].concept[].designation[].value
A statistic that is a difference between 1 and a ratio of the two mean values being compared.

# compose.include[].concept[].designation[].value
A statistic that is a difference between 1 and a ratio of the two risk values being compared.

# compose.include[].concept[].designation[].value
A statistic that is a difference between two means, divided by a statistical measure of dispersion.

# compose.include[].concept[].designation[].value
A standardized mean difference which is calculated as a difference between two means, divided by a square root of an average of the variances of the two groups.

# compose.include[].concept[].designation[].value
A standardized mean difference which is calculated as a difference between two means, divided by the standard error of the difference between the two means.

# compose.include[].concept[].designation[].value
A standardized mean difference which is calculated as a difference between two means, divided by the pooled standard deviation.

# compose.include[].concept[].designation[].value
A standardized mean difference which is calculated as a difference between two means (of an experimental group and a control group), divided by the standard deviation of the control group.

# compose.include[].concept[].designation[].value
A statistic that represents the number of units that needs to be treated to prevent one additional undesired outcome. The Number Needed to Treat is calculated as the reciprocal of a treatment effect estimate, where the effect estimate is expressed as a risk difference.

# compose.include[].concept[].designation[].value
A statistic that represents the number of units that needs to be tested to identify one additional case. The Number Needed to Screen to Detect is calculated as the reciprocal of a difference in rate of detected cases with and without screening.

# compose.include[].concept[].designation[].value
A statistic that represents the number of units that needs to be tested to prevent one additional adverse outcome, assuming that positive testing will lead to preventive intervention. The Number Needed to Screen to Prevent is calculated as the Number Needed to Treat divided by the prevalence.

# compose.include[].concept[].designation[].value
A statistic that represents the number of units that, if treated or exposed to the intervention, to lead to one additional undesired outcome. The Number Needed to Harm is calculated as the reciprocal of a treatment effect estimate, where the effect estimate is expressed as a risk difference.

# compose.include[].concept[].designation[].value
A ratio that is multiplied by 100, and has the same units of measurement in the numerator and the denominator.

# compose.include[].concept[].designation[].value
A percentage in which the numerator represents the absolute value of one minus the difference between the true value and the observed value, and the denominator represents the true value.

# compose.include[].concept[].designation[].value
A ratio in which the numerator represents a part, fraction or share of the amount represented by the denominator.

# compose.include[].concept[].designation[].value
A proportion in which the numerator represents new events.

# compose.include[].concept[].designation[].value
A proportion in which the numerator represents all events of interest (for example, both new and preexisting cases of a disease) in the population, which is represented by the denominator.

# compose.include[].concept[].designation[].value
A proportion in which the numerator represents the detected items within the denominator that represents all items with the targeted attribute.

# compose.include[].concept[].designation[].value
A proportion in which the numerator represents the non-detected items within the denominator that represents all items without the targeted attribute.

# compose.include[].concept[].designation[].value
A proportion in which the numerator represents the correctly detected items within the denominator that represents all items detected.

# compose.include[].concept[].designation[].value
precision (as used in information retrieval)

# compose.include[].concept[].designation[].value
A proportion in which the numerator represents the correctly non-detected items within the denominator that represents all items not detected.

# compose.include[].concept[].designation[].value
A proportion in which the numerator represents the correctly detected items within the denominator that represents all items tested.

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A proportion in which the numerator represents the cases in which an event or characteristic occurs and the denominator represents all possible cases.

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A ratio in which the numerator represents the probability that an event will occur and the denominator represents the probability that an event will not occur.

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A ratio in which the numerator represents any quantity and the denominator represents an interval of time.

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A rate in which the number of new events per total at risk is divided by an interval of time.

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A conditional instantaneous rate in which the numerator represents an incidence conditioned on survival to a specified time, and the denominator represents a time interval with a duration approaching zero.

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The number of occurrences per unit of time.

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A ratio in which the numerator represents an event frequency and the denominator represents an interval of time.

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A ratio in which the numerator represents a count and the denominator represents a count (without involving an interval of time).

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A ratio in which the numerator represents any quantity and the denominator represents an interval of space (distance, area, or volume).

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A ratio in which the numerator represents a count and the denominator represents an interval of space (distance, area, or volume).

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A ratio in which the numerator is a measure of the solute and the denominator is a measure of the solvent.

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A measure of association expressed as a ratio.

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A measure of association that is the ratio of the hazard rate of an event in one group to the hazard rate of the same event in another group.

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A measure of association that is the ratio of two incidence rates.

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An incidence rate ratio in which the numerator is the incidence rate in a group and the denominator is the incidence rate for a reference population.

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A measure of association that is the ratio of two odds.

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A measure of association that is the ratio of two prevalences.

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A measure of association that is the ratio of the risk of an event in one group to the risk of the same event in another group.

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A measure of association that is the ratio of the probability of the test giving a positive result when testing an affected subject and the probability of the test giving a positive result when a subject is not affected.

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A measure of association that is the ratio of the probability of the test giving a negative result when testing an affected subject and the probability of the test giving a negative result when a subject is not affected.

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A measure of association that is the ratio of the number of correct results to the total number tested.

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A measure of association that is the ratio of the odds of a positive test in those with disease relative to the odds of a positive test in those without disease.

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A measure of association, ranging from -1 to 1, that measures the strength and direction of the linear relationship between two binary variables.

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A measure of agreement among categorical assessments, corrected for chance agreement.

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A Kappa statistic in which the expected agreement by chance is based on an assumption that all possible categories for assignment are equally likely.

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A Kappa statistic in which the expected agreement by chance is based on an assumption that the likelihood of each category for assignment is based on the proportion observed, and the number of raters is 2.

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modified Cohen’s kappa for more than 2 raters

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A Kappa statistic in which the expected agreement by chance is based on an assumption that the likelihood of each category for assignment is based on the proportion observed, and the number of raters is more than 2.

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A Kappa statistic where the expected agreement between two raters is expressed in terms of the square of arithmetic means of marginal proportions of each assessment category.

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A ratio of the number of incorrect results to the total number tested.

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A ratio representing the harmonic mean of recall and precision.

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A measure of correlation that is not normalized by the variances of the variables.

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A measure of correlation, ranging from -1 to 1, that measures the strength and direction of the linear relationship between values of two continuous variables.

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A measure of correlation, ranging from -1 to 1, that measures the strength and direction of the relationship between ranks by value of two ordinal or continuous variables, and is calculated as the Pearson correlation coefficient between the rank values.

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A measure of correlation, ranging from -1 to 1, that measures the strength and direction of the relationship between ranks by value of two ordinal or continuous variables, and is calculated based on the difference in the number of concordant and discordant pairs of rankings divided by the number of all possible pairs of rankings.

# compose.include[].concept[].designation[].value
A measure of correlation, ranging from -1 to 1, that measures the strength and direction of the relationship between ranks by value of two ordinal or continuous variables, and is calculated based on the difference in the number of concordant and discordant pairs of rankings divided by the total number of pairs of rankings, where ties are not counted among the pairs of rankings.

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A measure of association that is used as the coefficient of an independent variable in a regression model, of the dependent variable, which is linear in its parameters.

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A measure of calibration that is the average of a function of the difference between the expected values and the observed values.

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A measure of calibration that is the difference between the mean expected value and the mean observed value.

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A measure of calibration that is the rate of change in the appropriately transformed value per unit change of the correspondingly transformed predicted value.