Trt: Sensitivity Analysis for Binary Missing Data

In salbm: Sensitivity Analysis for Binary Missing Data

Description

These dataframes store data from a repeated measures clinical trial. The data are simulated. Trt1 contains data from the control arm and Trt2 contains data from the active arm.

Usage

data(trt1)
data(trt2)

Format

trt1 and trt2 are 300 by 6 dataframes

Details

In each of trt1 and trt2 a row represtents the outcome measure for one subject at each of 3 timepoints. The data are coded as 0 or 1 for the binary outcome and as 2 for missing data. The datasets are delibertly small and are used in the help examples.

• y1 measure at baseline time-point 1

• y2 measure at follow-up time-point 2

• y3 measure at follow-up time-point 3

• y4 measure at follow-up time-point 4

• y6 measure at follow-up time-point 5

• y6 measure at follow-up time-point 6

salbm documentation built on May 25, 2021, 9:07 a.m.