Create CohortMethod diagnostics thresholds — createCmDiagnosticThresholds • CohortMethod

Threshold used when calling exportToCsv() to determine if we pass or fail diagnostics.

Usage

createCmDiagnosticThresholds(
  mdrrThreshold = 10,
  easeThreshold = 0.25,
  sdmThreshold = 0.1,
  sdmAlpha = NULL,
  equipoiseThreshold = 0.2,
  generalizabilitySdmThreshold = 999
)

Arguments

mdrrThreshold: What is the maximum allowed minimum detectable relative risk (MDRR)?
easeThreshold: What is the maximum allowed expected absolute systematic error (EASE).
sdmThreshold: What is the maximum allowed standardized difference of mean (SDM)? If any covariate has an SDM exceeding this threshold, the diagnostic will fail.
sdmAlpha: What is the alpha for testing whether the absolute SDM exceeds sdmThreshold? If not provided, no significance testing will be performed and any absolute SDM greater than the threshold will be considered imbalance. Note that a Bonferroni adjustment will automatically be applied to adjust for the number of tests performed.
equipoiseThreshold: What is the minimum required equipoise?
generalizabilitySdmThreshold: What is the maximum allowed standardized difference of mean (SDM)when comparing the population before and after PS adjustments? If the SDM is greater than this value, the diagnostic will fail.

Value

An object of type CmDiagnosticThresholds.

Details

The sdmThreshold and sdmAlpha arguments are independent of the threshold and alpha threshold provided to the createComputeCovariateBalanceArgs() function. The latter have no impact on blinding and diagnostics reported in the export.