# text.div
Generated Narrative: ValueSet evidence-variable-handling

Last updated: 2022-05-12 12:40:00+0000

Profile: Shareable ValueSet

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

Code | Display | Definition (core metadata concept) | Synonym (core metadata concept)
STATO:0000252 | categorical variable | A variable that can assume values from only a finite set of values. |
STATO:0000721 | nominal variable | A categorical variable for which the meanings of the categories do not have an ordered relationship. |
STATO:0000090 | dichotomous variable | A nominal variable that can assume values from 2 discrete possible values. | binary nominal variable
STATO:0000724 | boolean variable | A nominal variable that can assume values from 2 discrete possible values, True of False. | Boolean variable
STATO:0000087 | polychotomous variable | A nominal variable that can assume values from 3 or more discrete possible values. | polychotomous nominal variable
STATO:0000228 | ordinal variable | A categorical variable where the discrete possible values are ordered or correspond to an implicit ranking. |
STATO:0000725 | dichotomous ordinal variable | An ordinal variable that can assume values from 2 discrete possible values. | binary ordinal variable
STATO:0000726 | polychotomous ordinal variable | An ordinal variable that can assume values from 3 or more discrete possible values. |
STATO:0000732 | multi-value categorical variable | A categorical variable that can assume two or more values simultaneously. | multilabel categorical variable
STATO:0000722 | quantitative variable | A variable that can assume numerical values, with or without units of measure. |
STATO:0000723 | discrete variable | A quantitative variable for which only integer values are allowed. |
STATO:0000251 | continuous variable | A quantitative variable for which, within the allowable range, any value is possible. |
STATO:0000727 | interval variable | A continuous variable with ordered, equally spaced units where the difference between values is meaningful, but no true zero point exists. |
STATO:0000728 | date variable | An interval variable for which allowable values represent a point in time on a calendar with a year, with or without a month, and with or without a day. |
STATO:0000729 | dateTime variable | An interval variable for which allowable values represent a point in time on a calendar, with a year, month, and day, and on a clock, with hours, minutes, and seconds. |
STATO:0000730 | ratio variable | A continuous variable with a true zero point and ordered, equally spaced units where the difference between values is meaningful. |
STATO:0000731 | time-to-event variable | A ratio variable representing the duration of observation until the event occurred, conditioned on the event occurring. |

# description
The types of values that can be assumed by the variable

# 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

# compose.include[].concept[].designation[].value
A variable that can assume values from only a finite set of values.

# compose.include[].concept[].designation[].value
A categorical variable for which the meanings of the categories do not have an ordered relationship.

# compose.include[].concept[].designation[].value
A nominal variable that can assume values from 2 discrete possible values.

# compose.include[].concept[].designation[].value
A nominal variable that can assume values from 2 discrete possible values, True of False.

# compose.include[].concept[].designation[].value
A nominal variable that can assume values from 3 or more discrete possible values.

# compose.include[].concept[].designation[].value
A categorical variable where the discrete possible values are ordered or correspond to an implicit ranking.

# compose.include[].concept[].designation[].value
An ordinal variable that can assume values from 2 discrete possible values.

# compose.include[].concept[].designation[].value
An ordinal variable that can assume values from 3 or more discrete possible values.

# compose.include[].concept[].designation[].value
A categorical variable that can assume two or more values simultaneously.

# compose.include[].concept[].designation[].value
A variable that can assume numerical values, with or without units of measure.

# compose.include[].concept[].designation[].value
A quantitative variable for which only integer values are allowed.

# compose.include[].concept[].designation[].value
A quantitative variable for which, within the allowable range, any value is possible.

# compose.include[].concept[].designation[].value
A continuous variable with ordered, equally spaced units where the difference between values is meaningful, but no true zero point exists.

# compose.include[].concept[].designation[].value
An interval variable for which allowable values represent a point in time on a calendar with a year, with or without a month, and with or without a day.

# compose.include[].concept[].designation[].value
An interval variable for which allowable values represent a point in time on a calendar, with a year, month, and day, and on a clock, with hours, minutes, and seconds.

# compose.include[].concept[].designation[].value
A continuous variable with a true zero point and ordered, equally spaced units where the difference between values is meaningful.

# compose.include[].concept[].designation[].value
A ratio variable representing the duration of observation until the event occurred, conditioned on the event occurring.