Summarize results of transportability analysis using interpolated g-computation

Returns summary object which contains the transported effect estimate, organizes subgroup effect estimates into a data frame and produces summary statistics of effect modifiers in the target data, if not already provided.

Usage

# S3 method for class 'transportInterpolated'
summary(object, ...)

# S3 method for class 'summary.transportInterpolated'
print(x, out = stdout(), ...)

Arguments

object

Result from transportInterpolated function

...

Further arguments from previous function or to pass to next function

x

summary.transportInterpolated object

out

Output stream

Value

Returns a summary.transportInterpolated object containing the following components:

• effect, link, mainTreatmentEffect and mainSE as in the transportInterpolated object

• se: Estimated standard error of the effect estimate

• subgroupEffects: Subgroup effect estimates and their estimated standard errors in the original study, organized into a data frame with specific effect modifier and subgroup information

• aggregateStudyData: Summary statistics of effect modifiers in study data

• aggregateTargetData: Summary statistics of effect modifiers in target data