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Generate a plot of survivor only and survivor average causal effect values
# S3 method for summary.IDEMINFER
plot(
x,
opt = c("pvalue", "effect"),
by.sace = TRUE,
delta0 = 0,
delta1 = 0,
sace.delta = NULL,
...
)
A class summary.IDEMSACE
object generated by summary of
IDEMINFER
contour plots of pvalue
or effect
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
Selected treatment arm 0 sensitivity parameters
Selected treatment arm 1 sensitivity parameters
Single SACE sensitivity parameter
Options for plot
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
.
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);}
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