crit_general {BDP2}

Calculates CritBoundaries for different types of futility criteria

Description

Calculates CritBoundaries for different types of futility criteria

Usage

crit_general(n, p0, p1, vn.int, alpha, crit, type=5, shape1 = 1, shape2 = 1)

Arguments

n

sample size at the final analysis

p0

success rate corresponding to H0

p1

success rate corresponding to H1 (p1 > p0)

vn.int

vector of sample sizes at the interim analyses (the vector may be equal to 1:(n-1) = continuous monitoring of futility)

alpha

nominal probability of type 1 error used for the final test

crit

critical level(s) of predictive/conditional power, (posterior) probabilities, rates, or patient numbers used for early termination. crit translates into futility boundaries (maximum number of successes leading to early termination). If simple rates are used for monitoring futility (type=7), crit is the critical success rate. Rates or probabilites must be input as percentages. In case of type 10 analyses, crit must be a vector of numbers of successes indicating futility bounds at each (interim or final)analysis.

type

see BDP2_simulate for details. Type of futility analysis: 1=predictive power; 2=conditional power under H1; 3=conditional power under the MLE; 4=posterior probability of a success rate > p0; 5=posterior probability of a success rate >= p1; 6=predictive probability of reaching a "positive" final study result, where "positive" is defined in terms of the posterior probability of a success rate > p0. (Here, the ciritcal level must be >= 1- alpha). 7=estimated success rate; 8=p-values; 9="p-values under H1"; 10=user- defined bounds (a vector of critical numbers of successes for each analysis)

shape1

for prior distribution

shape2

for prior distribution