# SMARTp: A SMART design for non-surgical treatments of chronic   periodontitis with spatially-referenced and non-randomly missing skewed   outcomes

**Authors:** Jing Xu, Dipankar Bandyopadhyay, Sedigheh Mirzaei, Bryan Michalowicz,, Bibhas Chakraaborty

arXiv: 1902.09386 · 2019-02-26

## TL;DR

This paper introduces a SMART design tailored for non-surgical treatments of chronic periodontitis, addressing challenges with spatially-referenced, non-randomly missing, and skewed outcomes to optimize personalized treatment strategies.

## Contribution

It develops a novel SMART framework specifically designed for complex periodontal data with missing and skewed outcomes, including an accessible R implementation.

## Key findings

- Proposes a new sample size formula for SMART in periodontal studies
- Addresses spatially-referenced and non-random missing data issues
- Provides R code for practical implementation

## Abstract

This paper proposes dynamic treatment regimes for choosing individualized effective treatment strategies of chronic periodontal disease. R codes for implementing the proposed sample size formula are available in GitHub.

## Full text

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## Figures

2 figures with captions in the complete paper: https://tomesphere.com/paper/1902.09386/full.md

## References

46 references — full list in the complete paper: https://tomesphere.com/paper/1902.09386/full.md

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Source: https://tomesphere.com/paper/1902.09386