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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.1 |
rolling linux/jammy R-4.5 | SMARTp_0.1.1.tar.gz |
49.4 KiB |
0.1.1 |
rolling linux/noble R-4.5 | SMARTp_0.1.1.tar.gz |
49.3 KiB |
0.1.1 |
rolling source/ R- | SMARTp_0.1.1.tar.gz |
13.1 KiB |
0.1.1 |
latest linux/jammy R-4.5 | SMARTp_0.1.1.tar.gz |
49.4 KiB |
0.1.1 |
latest linux/noble R-4.5 | SMARTp_0.1.1.tar.gz |
49.3 KiB |
0.1.1 |
latest source/ R- | SMARTp_0.1.1.tar.gz |
13.1 KiB |
0.1.1 |
2026-04-26 source/ R- | SMARTp_0.1.1.tar.gz |
13.1 KiB |
0.1.1 |
2026-04-23 source/ R- | SMARTp_0.1.1.tar.gz |
13.1 KiB |
0.1.1 |
2026-04-09 windows/windows R-4.5 | SMARTp_0.1.1.zip |
52.0 KiB |
0.1.1 |
2025-04-20 source/ R- | SMARTp_0.1.1.tar.gz |
13.1 KiB |