get.weighted.power: Get Weighted Type I Error and Power.

In BasketTrial: Bayesian Basket Trial Design and Analysis

Get Weighted Type I Error and Power.

Description

Get weighted type I error (WE) and power(WP) cross all scenarios. including family wise (fwer) or trial wise (twer) or false discovery rate (fdr).

Usage

get.weighted.power(object, Q, s0 = 100, s1 = 0)

Arguments

object	returned by post.infer.
Q	a vector of length B for the efficacy cutoff in each basket.
s0	Setting s0=100 the weighted power reduces to type I error under global null. Please use this default.
s1	Setting s1=0 gives equal weight for calculating weighted power across scenarios. Please use this default.

Value

It returns a list with error.tw for average basket-wise type I error rate (BWER) under global null, bwer for BWERs for all null baskets, power.cdr for average true positive rate (TPR) across scenarios except global null, power.ccr for average correct classification rate (CCR) across scenarios except global null.

Examples

N <- rbind(
c(10, 25),
c(10, 25),
c(10, 25),
c(10, 25),
c(10, 25)) # interim sample size and total sample size for each indication
scenarios <- rbind( c(0.15, 0.15, 0.15, 0.15, 0.15), c(0.3, 0.3, 0.3, 0.3, 0.3) )
res <- generate.data(N = N, ORRs = scenarios, ntrial = 1000, seed = 343809)
post <- post.infer(res, pnull = rep(0.15,5), stopbounds = cbind(c(1,1,1,1,1)),
ModelFit = "localPP", method = "PEB", a = 2, delta = 0.3)
(Q <- get.Q.bwer(post, alpha = 0.1, digits = 3, Qclust = rep(1, 5)))
(powers <- get.weighted.power(object = post, Q = Q))

BasketTrial documentation built on June 18, 2025, 5:08 p.m.