Research Design and Analysis Core

pepper center

 

The Research Design and Analysis Core provides all Pepper Center investigators statistical support from the beginning to end of all research projects.

Hub of Statistical Expertise

By serving as a central hub of statistical expertise, the Core ensures smooth delivery of statistical knowledge and rigor across the spectrum of scientific research at the Center. In addition, the Core guides all trainees through each step of the process, ensures the quality of Center research studies, and ultimately enhances research on predictors, characteristics, and outcomes of late-life disability, especially in vulnerable populations.

Core Leader

John Boscardin

John Boscardin, PhD

Professor of Medicine and Biostatistics

My UCSF Profile

 

RDAC Development Project Highlight

As a project highlight, Dr. Boscardin has developed a SAS macros to determine optimism for logistic and Cox regression model selection and fitting for selection methods including the novel Best AIC/Best BIC subset selection methods .

The work was presented at the Global and Regional SAS conferences in 2015 and has resulted in numerous requests from researchers around the world for use of the software. In addition, based on users’ feedback, the RDAC is revising the macros for re-release.

Specific proceedings papers resulting from this SAS macros include:

  • Estimating Harrell's Optimism on Predictive Indices Using Bootstrap Samples (Yinghui Miao, Irena Cenzer, Katharine Kirby, John Boscardin).  SAS Global  Forum Proceedings, 2013.
  • Optimism of Best Subset Selection by AIC/BIC for Prognostic Model Building (Yinghui Miao, Irena Cenzer, Katharine Kirby, John Boscardin). Western SAS Users Proceedings, 2013

If you are interested in receiving the macros, please email Dr. Boscardin.

Contact Information:

John Boscardin, PhD
Professor of Medicine and Epidemiology & Biostatistics
[email protected]