Fellow, American Statistical Association, 1992
Fellow, Center for Advanced Study in the Behavorial Sciences, Stanford, 2000-2001
George W. Snedecor Award from the Committee of Presidents of Statistical Societies, 2003
Academic Positions Held
Wharton: 1986-present. (named Robert G. Putzel Professor, 2001; Robert B. Egelston Term Professor of Statistics, 1991-92; Joseph Wharton Term Associate Professor and Professor of Statistics, 1986-91)
Previous appointment: University of Wisconsin, Madison
Senior Research Scientist, Research Statistics Group, Educational Testing Service, 1986
Research Scientist, Research Statistics Group, Educational Testing Service, 1983-86
Statistician, Division of Statistics and Applied Mathematics, Office of Radiation Programs, U.S. Environmental Protection Agency, 1980-81
Member, Committee on National Statistics, National Research Council, 1996-99
Member, Committee on Data and Research for Policy on Illegal Drugs, National Research Council, 1998-2000
Member, Advisory Board of the Measurement, Methodology and Statistics Program of the U.S. National Science Foundation, 1999-2001
Further development of the material in STAT 111, in particular the analysis of variance, multiple regression, non-parametric procedures and the analysis of categorical data. Data analysis via statistical packages.
STAT500 - APPLIED REG & ANALY VAR
An applied graduate level course in multiple regression and analysis of variance for students who have completed an undergraduate course in basic statistical methods. Emphasis is on practical methods of data analysis and their interpretation. Covers model building, general linear hypothesis, residual analysis, leverage and influence, one-way anova, two-way anova, factorial anova. Primarily for doctoral students in the managerial, behavioral, social and health sciences.
STAT501 - INT TO NONP & LOGLIN MOD
An applied graduate level course for students who have completed an undergraduate course in basic statistical methods. Covers two unrelated topics: loglinear and logit models for discrete data and nonparametric methods for nonnormal data. Emphasis is on practical methods of data analysis and their interpretation. Primarily for doctoral students in the managerial, behavioral, social and health sciences. May be taken before STAT 500 with permission of instructor.
STAT991 - SEM IN ADV APPL OF STAT
This seminar will be taken by doctoral candidates after the completion of most of their coursework. Topics vary from year to year and are chosen from advance probability, statistical inference, robust methods, and decision theory with principal emphasis on applications.
STAT995 - DISSERTATION
STAT999 - INDEPENDENT STUDY
Long-Term Excellence Award from the Health Policy Statistics Section of the American Statistical Association, 2018