Learn R Programming

⚠️There's a newer version (1.1.0) of this package.Take me there.

SMARTAR (version 1.0.0)

Sequential Multiple Assignment Randomized Trial and Adaptive Randomization

Description

Primary data analysis for sequential multiple assignment randomization trial (SMART) and calibration tools for clinical trial planning purposes. The methods used for this package include: (1) Likelihood-based global test (hypothesis test, power calculation) by in Zhong X., Cheng, B., Qian M., Cheung Y.K. (2019) . (2) IPWE-based global test (hypotehsis test, power calculation) by Ogbagaber S.B., Karp J., Wahed A.S. (2016) . (3) G estimates (pairwise comparison, power calculation) by Lavori R., Dawson P.W. (2012) . (4) IPW estimates (pairwise comparison, power calculation) by Murphy S.A. (2005) . (5) SAMRT with adaptive randomization by Cheung Y.K. (2015) .

Copy Link

Version

Install

install.packages('SMARTAR')

Monthly Downloads

44

Version

1.0.0

License

GPL-2

Maintainer

Tony Zhong

Last Published

November 5th, 2019

Functions in SMARTAR (1.0.0)

smartsize

sample size calculation
smartest

Conduct statistical tests using a SMART data
atsmeans

Identify adaptive treatment strategy and estimate strategy values
codiacs

Example data collected from CODIACS trial
getncp

get non-centralized parameter
seqmeans

Summarize sequence-specific descriptive statistics