MCMC_MABOUST {MABOUST}

Obtains posterior samples from the MABOUST design for use in trial decision making. Performs posterior sampling for the MABOUST design and determines whether the trial should continue and what treatment(s) are optimal.

Description

Obtains posterior samples from the MABOUST design for use in trial decision making. Performs posterior sampling for the MABOUST design and determines whether the trial should continue and what treatment(s) are optimal.

Usage

MCMC_MABOUST(Y, T, X, B, NTreat, NOUT, PSPIKE, ADJ)

Arguments

Y

Ordinal Outcome Vector, labeled 1,...,J

T

Treatment Indicator, labeled 1,...,K.

X

Matrix of patient covariates.

B

Number of MCMC iterations to perform.

NTreat

Number of treatments in consideration, i.e. K.

NOUT

Number of ordinal outcome categories, i.e. J.

PSPIKE

Prior probability of a pairwise null. PSPIKE=1 means no clustering is possible.

ADJ

Integer for whether or not we should adjust for covariates.

Value

Posterior samples for use in the MABOUST design.