effectOfTreatmentOnTreated

Calculate the number of treatment clusters by stratum --
these being proportional to "effect of treatment on treated" weights
when assignment probabilities are uniform within each stratum.

internal

Tools for randomization-based inference. Current focus is on the d^2 omnibus test of differences of means following Hansen and Bowers (2008) <doi:10.1214/08-STS254> . This test is useful for assessing balance in matched observational studies or for analysis of outcomes in block-randomized experiments.

Jake Bowers

RItools

Randomization Inference Tools

Mark Fredrickson

Ben Hansen

Josh Errickson

effectOfTreatmentOnTreated function

Arguments

Number of treatment clusters by stratum — effectOfTreatmentOnTreated

effectOfTreatmentOnTreated: Number of treatment clusters by stratum

Description

Usage

Value

Arguments

Details