mets (version 1.3.11)

ratioATE: Ratio of Average Treatment Effects

Description

Computes the ratio of two Average Treatment Effects (ATEs), typically comparing the ATE for a specific cause (e.g., RMTL due to cause 1) to the ATE for the total RMTL.

Usage

ratioATE(rmtl, rmtl1, h = NULL, null = 1)

Value

A list containing:

ratioG

Ratio based on the simple IPCW estimator.

ratioDR

Ratio based on the double robust estimator.

Arguments

rmtl

Object containing the ATE for the total RMTL (from resmeanATE).

rmtl1

Object containing the ATE for the specific cause RMTL (from resmeanATE).

h

Transformation function (e.g., log) applied to the ratio. Default is identity.

null

Value under the null hypothesis for the ratio (default 1).

Author

Thomas Scheike

Details

The function transforms the estimates (e.g., using log) to compute the ratio and its standard error using the delta method and the joint influence functions.

See Also

resmeanATE

Examples

data(bmt); bmt$event <- bmt$cause!=0; dfactor(bmt) <- tcell~tcell
out <- resmeanATE(Event(time,event)~tcell+platelet, data=bmt, time=40, outcome="rmtl")
out1 <- resmeanATE(Event(time,cause)~tcell+platelet, data=bmt, cause=1, time=40, outcome="rmtl")
ratioATE(out, out1, h=log)