Julian Wolfson, PhD
Assistant Professor
PhD, 2009, Biostatistics, University of Washington
Courses
Fall 2012
PUBH 7430 Stat Mthds for Correlated Data (Section 001)
Research Interests:
My research interests include
- Causal inference, particularly as applied to problems arising from randomized trials
- Prediction/variable selection in high-dimensional models
Many of the problems that motivate my work come from HIV clinical trials.
As an avid sports fan, I also maintain a side interest in sports statistics.
Mailing Address:
A453 Mayo Building, MMC 303
420 Delaware St SE
Minneapolis, MN 55455
Phone (Work): 625-9514
Email: julianw@umn.edu
Website: http://www.biostat.umn.edu/~julianw/
Selected Publications:
- Gilbert, P., Hudgens, M., and Wolfson, J. Commentary on "Principal Stratification--A Goal or a Tool?" by Judea Pearl. International Journal of Biostatistics, 2011 (in press).
- Wolfson, J., Addona, V. and Schmicker, R. The quarterback prediction problem: Forecasting the performance of college quarterbacks selected in the NFL draft. Journal of Quantitative Analysis in Sports, 2011.
- Wolfson, J. EEBoost: A general method for prediction and variable selection using estimating equations. Journal of the American Statistical Association, 2011.
- Wolfson, J. and Gilbert, P. Statistical identifiability and the surrogate endpoint problem, with application to vaccine trials. Biometrics, 2010.
Technical Reports:
rr2010-023.pdf
and rr2010-023suppl.pdf
Wolfson, J.
EEBoost: A general framework for prediction and variable selection based on estimating equations
Research Report 2010-23, Division of Biostatistics, University of Minnesota, 2010
Journal of the American Statistical Association (in press)
rr2010-022.pdf
Wolfson, J., Addona, V., and Schmicker, R.
The quarterback prediction problem: Forecasting the performance of college quarterbacks selected in the NFL draft
Research Report 2010-22, Division of Biostatistics, University of Minnesota, 2010
Journal of Quantitative Analysis in Sports (in press)
rr2010-021.pdf
and rr2010-021suppl.pdf
Wolfson, J. and Gilbert, P.
Statistical Identifiability and the Surrogate Endpoint Problem, With Application to Vaccine Trials
Research Report 2010-21, Division of Biostatistics, University of Minnesota, 2010
Biometrics (in press)