simonBayesAnalysis: Analysis of Simon's Bayesian Basket Trials

In lrstat: Power and Sample Size Calculation for Non-Proportional Hazards and Beyond

Analysis of Simon's Bayesian Basket Trials

Description

Obtains the prior and posterior probabilities for Simon's Bayesian basket discovery trials.

Usage

simonBayesAnalysis(
  nstrata = NA_integer_,
  r = NA_real_,
  n = NA_real_,
  lambda = NA_real_,
  gamma = NA_real_,
  phi = NA_real_,
  plo = NA_real_
)

Arguments

nstrata	The number of strata.
r	The vector of number of responders across strata.
n	The vector of number of subjects across strata.
lambda	The prior probability that the drug activity is homogeneous across strata.
gamma	The prior probability that the drug is active in a stratum.
phi	The response probability for an active drug.
plo	The response probability for an inactive drug.

Value

A list containing the following five components:

• case: The matrix with each row corresponding to a combination of drug activity over strata represented by the columns.

• prior_case: The vector of joint prior probabilities for the stratum-specific response rates.

• prior_stratum: The vector of marginal prior probabilities for the stratum-specific response rates.

• post_case: The vector of joint posterior probabilities for the stratum-specific response rates.

• post_stratum: The vector of marginal posterior probabilities for the stratum-specific response rates.

Author(s)

Kaifeng Lu, [e-mail]

Examples

a = simonBayesAnalysis(
  nstrata = 10,
  r = c(8,0,1,1,6,2,0,0,3,3),
  n = c(19,10,26,8,14,7,8,5,4,14),
  lambda = 0.5, gamma = 0.33,
  phi = 0.35, plo = 0.15)

a$post_stratum

lrstat documentation built on Oct. 18, 2024, 9:06 a.m.