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+) doi:10.48550/arXiv.1902.09386.
- Version0.1.1
- R version≥ 3.5
- LicenseLGPL-2
- LicenseLGPL-2.1
- LicenseLGPL-3
- Needs compilation?No
- Last release05/17/2019
Documentation
Team
Dipankar Bandyopadhyay
Jing Xu
Bibhas Chakraborty
Douglas Azevedo
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Last 30 days
This package has been downloaded 117 times in the last 30 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 6 times.
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Last 365 days
This package has been downloaded 1,557 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was Jul 21, 2024 with 74 downloads.
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Dependencies
- Imports3 packages