idem (version 5.2)

plot.summary.IDEMINFER: Plot survivors only and SACE analysis results

Description

Generate a plot of survivor only and survivor average causal effect values

Usage

# S3 method for summary.IDEMINFER
plot(
  x,
  opt = c("pvalue", "effect"),
  by.sace = TRUE,
  delta0 = 0,
  delta1 = 0,
  sace.delta = NULL,
  ...
)

Arguments

x

A class summary.IDEMSACE object generated by summary of IDEMINFER

opt

contour plots of pvalue or effect

by.sace

Logical value. If True, create a contour plot for given SACE sensitivity parameter. Otherwise, create a plot for treatment effect for given imputation sensitivity parameters

delta0

Selected treatment arm 0 sensitivity parameters

delta1

Selected treatment arm 1 sensitivity parameters

sace.delta

Single SACE sensitivity parameter

...

Options for plot

Details

The plot function will only generate the contour plot of p-values or treatment effects on functional outcomes for survivors only analyses.

For SACE analysis, the plot function generates contour plot of line plot based on the value of by.sace.

Examples

if (FALSE) {
rst.abc <- imData(abc, trt="TRT", surv="SURV", outcome=c("Y1","Y2"),
                 y0=NULL, endfml="Y2",
                 trt.label = c("UC+SBT", "SAT+SBT"),
                 cov=c("AGE"), duration=365, bounds=c(0,100));
rst.fit  <- imFitModel(rst.abc);
rst.imp <- imImpAll(rst.fit, deltas=c(-0.25,0,0.25),
                    normal=TRUE, chains = 2, iter = 2000, warmup = 1000);
rst.infer <- imInfer(rst.imp, n.boot = 100, effect.quantiles = c(0.25,0.5,0.75));
rst.survivors <- summary(rst.infer, opt="survivor");
plot(rst.survivors);}