David Wypij's methodological research is focused in the areas of longitudinal data analysis, the analysis of discrete data, and nonparametric statistics, with applications to problems in cardiac surgery, clinical trials, longitudinal studies of neurodevelopmental outcomes, and environmental epidemiology.

Areas of interest include the analysis of repeated measures and growth curve models, relative risk regression models, and the analysis of correlated, matched, and longitudinal binary data, such as arising from teratological studies or diary studies. Related interests include the study of bias and robust estimation of variance under misspecification of the statistical model, the analysis of missing data, methods for exact statistical inference, and the non-parametric estimation of ROC curves.

Recent work has focused on the application of logistic regression and generalized estimating equations to rank-based comparisons, with application to ROC curves, Wilcoxon tests, and the semi-parametric assessment of risk in toxicological studies.

Dr. Wypij serves as the statistician for several randomized clinical trials being conducted at the Department of Cardiology, Children's Hospital, comparing the incidence of brain injury after operative strategies in infant heart surgery, with follow-up visits scheduled when the children are one, four, and eight years of age. He has collaborated on a number of other studies with investigators in the Departments of Psychiatry, Neuroepidemiology, Neurology, and Cardiology at Children's Hospital.

He also works with the Harvard Six Cities Study of Air Pollution and Health, assessing the effects of air pollution, parental or personal smoking, and other risk factors on the pulmonary function level or growth rate of children and adolescents.

Dr. Wypij is also the statistician for a malaria clinical trials networks, involving randomized clinical trials in five African countries.

Ph.D., 1987, Cornell University