summary.ps: Summarization of the results of a call to the ps function

In Yan2020729/bdt1: Bootstrap Diagnostic Tool

Description

These functions are methods for class ps objects, summary.ps objects

Usage

  ## S3 method for class 'ps'
summary(object, ...)
  ## S3 method for class 'summary.ps'
print(x, ...)

Arguments

object	an object of class ps for summary functions.
x	an object of class summary.ps for print functions.
...	currently ignored.

Details

print.summary.ps, called indirectly by entering the command summary(result) (where result has class ps).

Value

ALL_methods	summary of the estimated propensity scores of all methods. It is a dataframe with columns refer to Min., 1st Qu., Median, Mean, 3rd Qu., Max values and rows refer to P(A=1|W) and P(A=0|W) for all subjects, P(A=1|W) for subgroups A=1 and P(A=0|W) subgroups with A=0
GLM1	summary of the estimated propensity scores by user defined gform1
GLM2	summary of the estimated propensity scores by user defined gform2
GLM	summary of the estimated propensity scores if user only defined one gform, either gform1 or gform2, for the parametric estimation
SL1	summary of the estimated propensity scores by user defined SL.library1
SL2	summary of the estimated propensity scores by user defined SL.library2
SL	summary of the estimated propensity scores if user only defined one vector of SL.library, either SL.library1 or SL.library2

References

1. Bahamyirou A, Blais L, Forget A, Schnitzer ME. (2019), Understanding and diagnosing the potential for bias when using machine learning methods with doubly robust causal estimators. Statistical methods in medical research, 28(6), 1637-50.

See Also

ps summary.ps

Yan2020729/bdt1 documentation built on March 24, 2021, 8:58 p.m.