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+) .


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install.packages("SMARTp")

0.1.1 by Dipankar Bandyopadhyay, 2 years ago


https://github.com/bandyopd/SMARTp


Browse source code at https://github.com/cran/SMARTp


Authors: Jing Xu , Dipankar Bandyopadhyay , Douglas Azevedo , Bibhas Chakraborty


Documentation:   PDF Manual  


LGPL (>= 2) license


Imports covr, sn, mvtnorm, stats, methods


See at CRAN