Matthew McHugh, Linda Aiken, Paul Rosenbaum, and Herbert Smith collaborated with other researchers from the Center for Outcomes Research at The Children’s Hospital of Philadelphia, Center for Health Outcomes and Policy Research at Penn’s School of Nursing, Penn’s Leonard Davis Institute of Health Economics and the Perelman School of Medicine at the University of Pennsylvania on a study which showed that patients undergoing surgery at Magnet hospitals recognized for nursing excellence, and good nurse staffing, have better outcomes at the same or lower costs as other hospitals. Read study published in the prominent surgery journal JAMA Surgery here.
Robert G. Putzel Professor of Statistics
Ph.D., Statistics, Harvard University, 1980
I am the Robert G. Putzel Professor in the Department of Statistics at the Wharton School of the University of Pennsylvania and a senior fellow of the Leonard Davis Institute of Health Economics at the University of Pennsylvania. As a pioneer in the development of methods for the design and analysis of observational studies and the author of two popular books and dozens of papers on the topic, my relationship with the PARC has weathered the test of time and fostered collaborations with several other PARC Associates Aiken, McHugh, Volpp, and Smith. These methodological contributions related to all PARC themes. For example, I am considered one of the world’s leading experts on multivariate matching and have published extensively on the development of new methods and theory using multivariate matching in both the statistics and medical literature. I have written on a vast array of topics of interest in statistics including the design of observational studies, latent variable models, the analysis of aggregated data, the analysis of clinical trials, and other topics. For over 20 years, I have been collaborating with Dr. J. Silber. In the past 15, we have conducted numerous studies involving Medicare claims using multivariate matching, in particular the conceptualization and publication of the new matching methods.
I have written three books that are directly relevant for this competing renewal. (1) Observational Studies (Springer Verlag Series in Statistics) is now in its second edition. (2) Design of Observational Studies (also Springer Verlag Series in Statistics), covers multivariate matching and designing observational studies to be insensitive to unmeasured biases. (3) My most recent book, Observation and Experiment: An Introduction to Causal Inference, was published in 2017 (Harvard University Press). I was invited to speak at the Nelder Lecture, Imperial College in London in 2016. I am a Fellow of the American Statistical Association, and have served frequently on committees for the United States National Academy of Sciences. In 2003, I received the Snedecor Award from the Committee of Presidents of Statistical Societies.