Create full CM analysis specifications

Create full CM analysis specifications

Usage

createCmAnalysesSpecifications(
  cmAnalysisList,
  targetComparatorOutcomesList,
  analysesToExclude = NULL,
  refitPsForEveryOutcome = FALSE,
  refitPsForEveryStudyPopulation = TRUE,
  cmDiagnosticThresholds = createCmDiagnosticThresholds()
)

Arguments

cmAnalysisList

A list of objects of type cmAnalysis as created using the `createCmAnalysis function.

targetComparatorOutcomesList

A list of objects of type targetComparatorOutcomes as created using the createTargetComparatorOutcomes function.

analysesToExclude

Analyses to exclude. See the Analyses to Exclude section for details.

refitPsForEveryOutcome

Should the propensity model be fitted for every outcome (i.e. after people who already had the outcome are removed)? If false, a single propensity model will be fitted, and people who had the outcome previously will be removed afterwards.

refitPsForEveryStudyPopulation

Should the propensity model be fitted for every study population definition? If false, a single propensity model will be fitted, and the study population criteria will be applied afterwards.

cmDiagnosticThresholds

An object of type CmDiagnosticThresholds as created using createCmDiagnosticThresholds().

Value

An object of type CmAnalysesSpecifications.

Details

Analyses to Exclude

Normally, runCmAnalyses will run all combinations of target-comparator-outcome-analyses settings. However, sometimes we may not need all those combinations. Using the analysesToExclude argument, we can remove certain items from the full matrix. This argument should be a data frame with at least one of the following columns:

• targetId

• comparatorId

• nestingCohortId

• outcomeId

• analysisId

This data frame will be joined to the outcome model reference table before executing, and matching rows will be removed. For example, if one specifies only one target ID and analysis ID, then any analyses with that target and that analysis ID will be skipped.