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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>.
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Package details |
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| Author | Jing Xu, Dipankar Bandyopadhyay, Douglas Azevedo, Bibhas Chakraborty |
| Maintainer | Dipankar Bandyopadhyay <bandyopd@gmail.com> |
| License | LGPL (>= 2) |
| Version | 0.1.1 |
| URL | https://github.com/bandyopd/SMARTp |
| Package repository | View on CRAN |
| Installation |
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