Project Personnel (NIH)

Dr. Daniel Scharfstein (Principal Investigator) is Professor of Biostatistics at the Johns Hopkins Bloomberg School of Public Health. He has published widely on methods for sensitivity analysis in randomized studies with missing data. He was a member of the Committee of National Statistics expert panel, sponsored by the FDA, that produced the 2010 report entitled: "The Prevention and Treatment of Missing Data in Clinical Trials". He was also a co-investigator on a grant from PCORI that drafted standards for the prevention and handling of missing data in PCOR. Dr. Scharfstein has consulted with the FDA as a Special Government Employee. He and Dr. McDermott have implemented global sensitivity analyses for pharmaceutical companies seeking FDA approval of their products.

Dr. Aidan McDermott is an Associate Scientist of Biostatistics at the Johns Hopkins Bloomberg School of Public Health. He serves as the lead programmer on these grants. Dr. McDermott has been working as a software developer for over 25 years. He is a highly experienced in SAS, R and C, the programming languages that will be used for this project. He has worked for SAS Institute's European headquarters and regularly teaches SAS courses at Johns Hopkins. He has developed several R packages, built on C code, including ones for generalized estimating equations, generalized additive models and spatial-temporal modeling.

Dr. Chenguang Wang is an Asscoiate Professor, Department of Oncology, at Johns Hopkins University School of Medicine and a member of the Biostatistics Core for the Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins University. Dr. Wang has strong background in the field of computer science and experience in developing and applying a broad array of biostatistical methodologies to the design and analysis of clinical trials. Dr. Wang worked for many years as study statistician for Children’s Oncology group on children’s Acute Lymphoblastic Leukemia trials and as FDA mathematical statistical reviewer. Dr. Wang's statistical methodology interests involve Bayesian methods for missing data analysis and causal inference in clinical trial design and clinical data analysis.

Dr. Jon Steingrimsson is an Assistant Professor of Biostatistics at Brown University. His methodological research interests are centered around machine learning for health data and design and analysis of clinical trials.

Dr. Aimee Campbell is Associate Professor of Clinical Psychiatric Social Work at Columbia University Medical Center and New York State Psychiatric Institute whose research focuses on the development, testing, and implementation of behavioral interventions for substance use disorders. She has worked in the Greater New York node of NIDA’s CTN directing numerous national multi-site clinical trials since 2003.

Dr. Edward Nunes is Professor of Psychiatry at Columbia University Medical Center and co-PI of the Greater New York node of the CTN since 1999. He is internationally recognized for his research on the evaluation and treatment of substance use and co-occurring disorders and has led numerous trials of behavioral and pharmacological treatments.

Dr. Abigail Matthews is Biostatistician Manager at EMMES and co-PI of the NIDA CTN Data and Statistics Center contract. She has served as lead statistician on seven CTN protocols and is intimately familiar with the CTN Data Share Repository.

Dr. Jill Martstellar is Professor of Health Policy and Management at Johns Hopkins and routinely uses mixed research methods, including group facilitation methods, to investigate determinants of successful dissemination and sustainability of best practices.