two_stage_critical_values: For the two-stage design: Finds r1, the minimum number of...

In kaneplusplus/curtail: One and Two Stage Curtailed Trial Design

Description

For the two-stage design: Finds r1, the minimum number of Stage 1 successes to continue to Stage 2, and r2, the minimum number of Stage 2 successes to reject the null hypothesis. Find r1 so that the probability of early stopping is less than or equal to pearly. Find r2 from Binomial model with no early stopping and significance level alpha.

Usage

two_stage_critical_values(n, p, pearly = 0.1, alpha = 0.1)

Arguments

n	vector containing sample sizes planned for Stage 1 (n1) and Stage 2 (n2).
p	vector containing the probability of successful outcomes in Stage 1 (p1) and Stage 2 (p2) under the null hypothesis.
pearly	desired probability of early stopping (default is 0.1). Not necessary for determining critical values for the one-stage design.
alpha	desired significance level (default is 0.1).

Examples

two_stage_critical_values(n=c( 5, 31), p=c(.8,.2), pearly=.1, alpha=.1)

kaneplusplus/curtail documentation built on May 24, 2019, 2:04 a.m.