Paul R. Rosenbaum

Paul R. Rosenbaum
  • Robert G. Putzel Professor
  • Professor of Statistics
  • Statistics PhD Coordinator for Enrolled Students

Contact Information

  • office Address:

    473 Jon M. Huntsman Hall
    3730 Walnut Street
    Philadelphia, PA 19104

Research Interests: design and analysis of experiments, design and analysis of observational studies, health outcomes research

Links: CV, Personal Website

Overview

Education

PhD, Harvard University, 1980
AM, Harvard University, 1978
BA, Hampshire College, 1977

Career and Recent Professional Awards

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

Other Positions

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

Professional Leadership

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

For more information, go to My Personal Page

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Research

Teaching

Current Courses

  • BSTA550 - Applied Reg & Analy Var

    BSTA550401

  • PSYC611 - 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.

    PSYC611401

  • 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.

    STAT500401

Past Courses

  • BSTA550 - APPLIED REG & ANALY VAR

  • PSYC611 - 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.

  • PSYC612 - INT TO NONP & LOGLIN MOD

  • STAT112 - INTRODUCTORY STATISTICS

    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

Awards and Honors

  • Long-Term Excellence Award from the Health Policy Statistics Section of the American Statistical Association, 2018
  • C. G. Khatri Lecture, Penn State University, 2017
  • Nathan Mantel Award from the Section on Statistics in Epidemiology of the American Statistical Association, 2017
  • Nelder Lecture, Imperial College, 2016
  • George W. Snedecor Award from COPSS, 2003
  • Fellow, American Statistical Association, 1992

In the News

Knowledge @ Wharton

Activity

Latest Research

Bikram Karmakar, Dylan Small, Paul R. Rosenbaum (2019), Using approximation algorithms to build evidence factors and related designs for observational studies, Journal of Computational and Graphical Statistics, (to appear).
All Research

In the News

Grading Hospital Quality with a Level Playing Field

By “matching” patients across a group of hospitals, a new paper co-authored by two Wharton professors suggests a fairer and more accurate way of assessing the quality of health care providers.

Knowledge @ Wharton - 2014/05/20
All News

Awards and Honors

Long-Term Excellence Award from the Health Policy Statistics Section of the American Statistical Association 2018
All Awards