A fact or piece of data from a study of a large quantity of numerical data. A mathematical or quantified characteristic of a group of observations.

A description of the content value of the statistic.

Footnotes and/or explanatory notes.

Type of statistic, eg relative risk.

When the measured variable is handled categorically, the category element is used to define which category the statistic is reporting.

Simple strings can be used for descriptive purposes. Exact matching to EvidenceVariable.category.name for the Evidence.variableDefinition[variableRole=measuredVariable].observed=Reference(EvidenceVariable) could facilitate validation within datasets.

Statistic value.

The number of events associated with the statistic, where the unit of analysis is different from numberAffected, sampleSize.knownDataCount and sampleSize.numberOfParticipants.

When the number of events is the statistic, use Statistic.quantity and set Statistic.type.coding.code=C25463 and Statistic.type.coding.display=Count. When the statistic is an Event Rate (where individual participants may have 2 or more events), use Statistic.numberOfEvents to record the total number of events rather than the number of participants with events.

The number of participants affected where the unit of analysis is the same as sampleSize.knownDataCount and sampleSize.numberOfParticipants.

When the number affected is the statistic, use Statistic.quantity and set Statistic.type.coding.code=C25463 and Statistic.type.coding.display=Count. When the statistic is a Proportion, use Statistic.numberAffected and enter an integer as the value. When the statistic is an Event Rate (where individual participants may have 2 or more events), use Statistic.numberAffected to record the number of participants with events rather than the total number of events.

Number of samples in the statistic.

Human-readable summary of population sample size.

Footnote or explanatory note about the sample size.

Number of participants in the population.

A human-readable string to clarify or explain concepts about the sample size.

Number of participants with known results for measured variables.

A statistical attribute of the statistic such as a measure of heterogeneity.

Human-readable summary of the estimate.

Footnote or explanatory note about the estimate.

The type of attribute estimate, eg confidence interval or p value.

The singular quantity of the attribute estimate, for attribute estimates represented as single values; also used to report unit of measure.

Often the p value.

Use 95 for a 95% confidence interval.

Lower bound of confidence interval.

A nested attribute estimate; which is the attribute estimate of an attribute estimate.

A nested attribute estimate; which is the attribute estimate of an attribute estimate.

Human-readable summary of the estimate.

Footnote or explanatory note about the estimate.

The type of attribute estimate, eg confidence interval or p value.

The singular quantity of the attribute estimate, for attribute estimates represented as single values; also used to report unit of measure.

Often the pvalue.

Use 95 for a 95% confidence interval.

Lower bound of confidence interval.

A component of the method to generate the statistic.

Description of a component of the method to generate the statistic.

Further specification of the quantified value of the component of the method to generate the statistic.

A variable adjusted for in the adjusted analysis.

Description of the variable.

How the variable is classified for use in adjusted analysis.

Description for grouping of ordinal or polychotomous variables.

Discrete value for grouping of ordinal or polychotomous variables.

Range of values for grouping of ordinal or polychotomous variables.