David Nelson, PhD (biostatistician) is developing stepwise Bayes theory with applications in finite population sampling and nonparametric statistics as well as statistical theory for covariate reduction and selection bias control in the analysis of observational studies.
- Core Investigator and Senior Statistician, Center for Care Delivery and Outcomes Research
- Associate Professor of Medicine, School of Medicine, University of Minnesota
- Adjunct Assistant Professor, Department of Biostatistics, University of Minnesota
Statistical theory and methodology with emphasis in statistical inference for observational studies and Bayesian methods for finite population sampling
BS, University of Minnesota, Minneapolis, MN
MS, University of Minnesota, Minneapolis, MN
PhD, University of Minnesota, Minneapolis, MN