Skip to content

R codes for sample size calculation to detect dynamic treatment regime (DTR) effects based on changes in CAL outcomes from a non-surgical chronic periodontitis treatments study. The experiment is performed under a SMART design. The clustered tooth (sub-unit) level CAL outcomes are skewed, spatially-referenced, and non-randomly missing. The imple…

master
Go to file
Code

Latest commit

 

Git stats

Files

Permalink
Failed to load latest commit information.
Type
Name
Latest commit message
Commit time
 
 
 
 
 
 
 
 
 
 
 
 
 
 

README.md

SMARTp

Overview

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

Installation

# Install from CRAN (when available)
install.packages("SMARTp")
# Or the development version from GitHub
# install.packages("devtools")
devtools::install_github("bandyopd/SMARTp")

Usage

library(SMARTp) will load the following functions:

  • CAR_cov_teeth, for generating the CAR structure.
  • MC_var_yibar_mis, for estimating mean and variance of the average change in CAL for each patient by Monte Carlo method.
  • SampleSize_SMARTp, for sample size calculation under a clustered SMART design for chronic periodontitis.

See ?SampleSize_SMARTp for a complete example of how to use this package.

Contact

Dipankar Bandyopadhyay, PhD, Professor: dbandyop@vcu.edu

About

R codes for sample size calculation to detect dynamic treatment regime (DTR) effects based on changes in CAL outcomes from a non-surgical chronic periodontitis treatments study. The experiment is performed under a SMART design. The clustered tooth (sub-unit) level CAL outcomes are skewed, spatially-referenced, and non-randomly missing. The imple…

Resources

Releases

No releases published

Packages

No packages published
You can’t perform that action at this time.