samonCrossSummaryIM: Summary function for the difference in effect of two...

In samon: Sensitivity Analysis for Missing Data

Summary function for the difference in effect of two treatments at different sensitivity parameters.

Description

Produces a summary of the difference in treatment effect using two samonSummaryIM objects, Differences and confidence intervals are produced for each pair of sensitivity parameters.

Usage

samonCrossSummaryIM( trt1, trt2, CIlevel = 0.95 )

Arguments

trt1	the result from a call to samonSummaryIM for treatment 1
trt2	the result from a call to samonSummaryIM for treatment 2
CIlevel	the confidence level for confidence intervals

Details

Combines bootstrap estimates to produce summary estimates and confidence intervals for the difference in estimates from two treatment groups. The difference is computed for all combinations of the smoothing parameter, alpha, found in the Sum1 input object.

The difference in treatment estimates is taken to be those of treatment 2 minus those of treatment 1.

Value

Returns a list. This list includes TM which contains treatment estimates, their difference, and, standard error estimates. The list also contains, CI, which contains confidence intervals. Other items are returned for convenience are n10, the number of subjects in the first treatment group, and n20 the number of subjects in the second treatment group.

Examples

# V1Results and V2Results are the returned objects from the
# samonIM function associated with VAS treatment 1 and 2 respectively.
data("V1Results")
data("V2Results")

# summarize each arm, their difference and their cross difference.
VSummary1 <- samonSummaryIM(V1Results)
VSummary2 <- samonSummaryIM(V2Results)
VSummaryD <- samonDifferenceSummaryIM(VSummary1,VSummary2)
VSummaryX <- samonCrossSummaryIM(VSummary1,VSummary2)

samon documentation built on Oct. 26, 2023, 9:06 a.m.