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snSMART (version 0.2.4)

Small N Sequential Multiple Assignment Randomized Trial Methods

Description

Consolidated data simulation, sample size calculation and analysis functions for several snSMART (small sample sequential, multiple assignment, randomized trial) designs under one library. See Wei, B., Braun, T.M., Tamura, R.N. and Kidwell, K.M. "A Bayesian analysis of small n sequential multiple assignment randomized trials (snSMARTs)." (2018) Statistics in medicine, 37(26), pp.3723-3732 .

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Install

install.packages('snSMART')

Monthly Downloads

237

Version

0.2.4

License

GPL (>= 2)

Issues

2

Pull Requests

0

Stars

1

Forks

2

Maintainer

Michael Kleinsasser

Last Published

October 16th, 2024

Functions in snSMART (0.2.4)

snSMART-package

snSMART: Small N Sequential Multiple Assignment Randomized Trial Methods
sample_size

Sample size calculation for snSMART with 3 active treatments and a binary outcome
BJSM_binary

BJSM for snSMART (3 active treatments/placebo and 2 dose level) with binary outcome
LPJSM_binary

LPJSM for snSMART with binary outcomes (3 active treatments or placebo and two dose level)
group_seq

BJSM method for interim analysis and final analysis of group sequential trial design
BJSM_c

BJSM continuous (snSMART with three active treatments and a continuous outcome design)
summary.BJSM_binary

Summarizing BJSM fits
summary.group_seq

Summarizing BJSM fits
groupseqDATA_look1

Group sequential data look 1
trialDataMF

Dataset with continuous outcomes
summary.BJSM_dose_binary

Summarizing BJSM fits
groupseqDATA_full

Group sequential full data
data_dose

Dose Level dataset with binary outcomes
data_binary

Dataset with binary outcomes