|Institution||College of Medicine|
|Department||Public Health Sciences|
|Address||500 University Drive Hershey PA 17033|
Distinguished Professor and Chair of Public Health Sciences
GRADUATE PROGRAM AFFILIATIONS:
Public Health Sciences
PhD, University of North Carolina, 1979
Vernon M. Chinchilli, PhD, is Distinguished Professor and Chair in the Department of Public Health Sciences at the Penn State Hershey College of Medicine. His prior professional experience includes two years as a post-doctoral fellow in mathematical statistics at the U.S. Food and Drug Administration and 11 years as Assistant Professor through Professor in the Department of Biostatistics at the Medical College of Virginia of Virginia Commonwealth University. He joined the Penn State Hershey College of Medicine as Professor in 1992.
Dr. Chinchilli is Principal Investigator for the Data Coordination and Analyses Center (DCAC) of the Community and Child Health Network (CCHN), which is funded by the Eunice Kennedy Shriver National Institute of Child Health and Human Development for the period 2006-2012. The overall goal of the CCHN is to gain new insights into the reasons for the disparities in maternal health and child development. The goals of the first study originating from the Network are (1) to examine the factors associated with maternal allostatic load (a possible factor in poor pregnancy outcomes), and (2) to evaluate the usefulness of community-partnered participatory research for conducting research on health disparities. It is a multi-site, prospective cohort study of the influences of stress and resilience on maternal allostatic load and birth outcomes. A cohort in excess of 2,400 families has been recruited at delivery of the index child, such that at least 2,400 of the mothers complete the one-month interview. There has been oversampling among African American and Latina women, as well as women with preterm birth. Dr. Chinchilli has developed a statistical analysis plan for the CCHN study that consists of a canonical correlational analysis within the context of a multi-level statistical model.
Dr. Chinchilli has been Principal Investigator for the Data Coordinating Center (DCC) of the Asthma Clinical Research Network (ACRN) since its inception in 1993. The ACRN is funded by the National Heart, Lung, and Blood Institute (NHLBI). The ACRN exhausted its funding in 2011, and it completed 15 clinical trials and 40 peer-reviewed publications. Dr. Chinchilli developed a new clinical trial design, called a matched crossover design, which was invoked for three of the 15 ACRN clinical trials. In the matched crossover design, participants are matched according to pre-specified matching criteria and then the matched set is randomized to a crossover sequence of treatments. The advantage of the matched crossover design is that it can provide more precision than an unmatched design, which translates into a smaller sample size. Dr. Chinchilli also has been Principal Investigator of the DCC for the Childhood Asthma Research and Education (CARE) Network since its inception in 1999 until 2007, and now functions as a Co-Investigator in the CARE Network. The CARE Network also is funded by the NHLBI. When the CARE Network exhausts its funding it 2012, it will have completed 8 clinical trials and currently 20 peer-reviewed publications have resulted from these clinical trials.
Dr. Chinchilli is Principal Investigator for the DCC of the ASsessment, Serial Evaluation, and Subsequent Sequelae in Acute Kidney Injury (ASSESS-AKI) Consortium, which is funded by the National Institutes of Diabetes and Digestive and Kidney Diseases (NIDDK). The ASSESS-AKI Consortium consists of four Participating Clinical Centers (Kaiser Permanente of Northern California, Yale University, Vanderbilt University, and the University of Washington) in addition ot the DCC. The scientific objectives of the ASSESS-AKI Consortium are as follows: (1) establish a diverse prospective parallel, matched cohort of adults and children with and without AKI; (2) characterize the short-term and long-term natural history of AKI based on current serum creatinine-based diagnostic criteria; (3) evaluate the incremental utility of novel blood and urine biomarkers to refine the diagnosis and prognosis of AKI; (4) develop a prognostic risk score that integrates patient characteristics and biomarkers to help inform providers and patients about the risks of adverse events after an episode of AKI; (5) identify the subset of high-risk patients with AKI who could be targeted for future interventional clinical trials to improve outcomes after an episode of AKI.
Dr. Chinchilli served, and continues to serve, on various committees that advise and monitor multi-center clinical trials and epidemiological studies, such as the Observational Safety Monitoring Board (OSMB) for the Sleep Heart Health Study (still active (funded by the NHLBI), the External Advisory Committee for the African American Study of Kidney Disease and Hypertension (funded by the NIDDK), and the DSMB for the Feasibility of Retinoid Treatment in Emphysema Study (funded by the NHLBI). Dr. Chinchilli served as a member of the NHLBI Clinical Trials Review Committee (1999-2003) and as a member of the Food and Drug Administration’s Pulmonary and Allergy Drug Advisory Committee (1994-1998, 2002-2004). Dr. Chinchilli serves on numerous Special Emphasis Panels for the NIH as a reviewer of grant applications (usually an average of three panels per year).
Dr. Chinchilli has contributed extensively to the biostatistical and biomedical research literature with more than 220 publications. He has developed biostatistical methodology appropriate for the analysis of biomedical research data from multi-center trials. His publications include papers dealing with methods for the multivariate analysis of continuous outcome variables, such as repeated measurement/longitudinal data analysis for parallel and crossover designs, nonparametric multivariate analysis, measures of agreement, equivalence testing of competing therapies, and the consistency of results across centers within a multi-center clinical trial. He co-authored a book with Edward F. Vonesh, PhD, entitled Linear and Nonlinear Models for the Analysis of Repeated Measurements in 1997. He has supervised the PhD dissertations of 30 doctoral students, and he teaches two courses in the Department’s MS program every year (Clinical Trials: Design and Analysis; Multivariate Biostatistics). He was appointed a Fellow of the American Statistical Association in 1997 for his contributions to biostatistics.
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