This biostatistical research tool set includes a series of guidance documents developed by the Collaboratory Biostatistics and Study Design Core. These documents, which focus on detailed aspects of statistical design for conducting pragmatic clinical trials, provide a synthesis of current developments, discuss possible future directions, and, where appropriate, make recommendations for application to pragmatic clinical research.
- Key Issues in Extracting Usable Data from Electronic Health Records for Pragmatic Clinical Trials
- The Intraclass Correlation Coefficient
- Unequal Cluster Sizes in Cluster-Randomized Clinical Trials
- Pair-Matching vs Stratification in Cluster-Randomized Trials
- Frailty Models in Cluster-Randomized Trials
- Small-Sample Robust Variance Correction for Generalized Estimating Equations for Use in Cluster-Randomized Trials
The Biostatistics and Study Design Core wishes to thank David M. Murray, PhD, Director, Office of Disease Prevention, National Institutes of Health, for his invaluable input into the creation of these research tools.