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Comparative Studies:
Matching, Adjustment, and Propensity Scores
May 10, 2012
Edward Rothman (CSCAR)
Ben Hansen (Dept. of Statistics / ISR)
In an observational study, a researcher attempts to understand effects of an intervention upon people, without controlling which of them receive the intervention. Common in medical and social research, observational studies generally compare groups exposed to two or more contrasting conditions, restricting the focus of their comparisons not with experimental control but by statistical adjustment, and by artful choice of observations. In general, case-control studies, cohort studies and cross-sectional comparisons are all observational studies.
Designs and analyses of observational studies vary greatly, but some common threads join the most successful of them. The workshop discusses a number of these in general terms and gives a detailed overview of matching and related adjustment techniques for observational studies. This overview devotes special attention to a statistical tool called the propensity score, and to the implementation of propensity-score matching using R.
- Instructors
Ed Rothman has been a professor in the department of Statistics at the University of Michigan since 1969. He has extensive experience as a statistical consultant in studies both on and off campus.
Ben Hansen is an Assistant Professor in the Statistics Department and a Research Associate at the Institute for Social Research, University of Michigan. He has written and consulted on the use of propensity scores, optimal matching and sensitivity analysis in observational studies.- Audience
- Social, biomedical and all interested researchers.
- Dates & Times
- Thursday, May 10, 2012, 9:00 AM - 5:00 PM
- Location
- Modern Language Building, Room 2001A
- Fees
-
- $180 for University of Michigan affiliated faculty, staff and students
- $400 for others
Registrations on or before April 26, 2012 - $215 for University of Michigan affiliated faculty, staff and students
- $500 for others
Registrations after April 26, 2012 Please make check payable to CSCAR-University of Michigan, or give the University of Michigan Project/Grant or short code to be billed. Send check to CSCAR, 3550 Rackham Bldg., University of Michigan, 915 E. Washington St., Ann Arbor, MI, 48109-1070.
- Registration
- Call CSCAR at 734-764-7828. Enrollment is limited.