matchOnPsAndCovariates: Match by propensity score as well as other covariates

In OHDSI/CohortMethod: New-User Cohort Method with Large Scale Propensity and Outcome Models

Match by propensity score as well as other covariates

Description

Use the provided propensity scores and a set of covariates to match target to comparator persons.

Usage

matchOnPsAndCovariates(
  population,
  caliper = 0.2,
  caliperScale = "standardized logit",
  maxRatio = 1,
  allowReverseMatch = FALSE,
  cohortMethodData,
  covariateIds
)

Arguments

population	A data frame with the three columns described below.
caliper	The caliper for matching. A caliper is the distance which is acceptable for any match. Observations which are outside of the caliper are dropped. A caliper of 0 means no caliper is used.
caliperScale	The scale on which the caliper is defined. Three scales are supported: caliperScale = 'propensity score', caliperScale = 'standardized', or caliperScale = 'standardized logit'. On the standardized scale, the caliper is interpreted in standard deviations of the propensity score distribution. 'standardized logit' is similar, except that the propensity score is transformed to the logit scale because the PS is more likely to be normally distributed on that scale (Austin, 2011).
maxRatio	The maximum number of persons in the comparator arm to be matched to each person in the treatment arm. A maxRatio of 0 means no maximum: all comparators will be assigned to a target person.
allowReverseMatch	Allows n-to-1 matching if target arm is larger
cohortMethodData	An object of type CohortMethodData as generated using getDbCohortMethodData().
covariateIds	One or more covariate IDs in the cohortMethodData object on which subjects should be also matched.

Details

The data frame should have the following three columns:

• rowId (numeric): A unique identifier for each row (e.g. the person ID).

• treatment (integer): Column indicating whether the person is in the target (1) or comparator (0) group.

• propensityScore (numeric): Propensity score.

The default caliper (0.2 on the standardized logit scale) is the one recommended by Austin (2011).

Value

Returns a tibble with the same columns as the input data plus one extra column: stratumId. Any rows that could not be matched are removed

References

Rassen JA, Shelat AA, Myers J, Glynn RJ, Rothman KJ, Schneeweiss S. (2012) One-to-many propensity score matching in cohort studies, Pharmacoepidemiology and Drug Safety, May, 21 Suppl 2:69-80.

Austin, PC. (2011) Optimal caliper widths for propensity-score matching when estimating differences in means and differences in proportions in observational studies, Pharmaceutical statistics, March, 10(2):150-161.

OHDSI/CohortMethod documentation built on Oct. 9, 2024, 12:50 p.m.