SMARTp: Sample Size for SMART Designs in Non-Surgical Periodontal Trials

Sample size calculation to detect dynamic treatment regime (DTR) effects based on change in clinical attachment level (CAL) outcomes from a non-surgical chronic periodontitis treatments study. The experiment is performed under a Sequential Multiple Assignment Randomized Trial (SMART) design. The clustered tooth (sub-unit) level CAL outcomes are skewed, spatially-referenced, and non-randomly missing. The implemented algorithm is available in Xu et al. (2019+) <arXiv:1902.09386>.

Getting started

Package details

AuthorJing Xu, Dipankar Bandyopadhyay, Douglas Azevedo, Bibhas Chakraborty
MaintainerDipankar Bandyopadhyay <bandyopd@gmail.com>
LicenseLGPL (>= 2)
Version0.1.1
URL https://github.com/bandyopd/SMARTp
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("SMARTp")

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SMARTp documentation built on May 17, 2019, 9 a.m.