Sample Size for SMART Designs in Non-Surgical Periodontal Trials
The within-mouth covariance matrix with conditional autoregressive str...
Estimated mean and variance of the average change in CAL for each subj...
Print for SMARTp class
Sample size calculation under a clustered SMART design for non-surgica...
An object of "SMARTp" class
Summary for SMARTp class
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>.