JSM 2011 Online Program
The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.
Activity Details
|
|
|||
| 344 | Tue, 8/2/2011, 10:30 AM - 12:20 PM | CC-D241 | |
| Statistical Methods for Analyzing Categorical Data — Contributed Papers | |||
| Biometrics Section , Section on Health Policy Statistics , Section for Statistical Programmers and Analysts , Section on Statistical Consulting | |||
| Chair(s): Alisa Jane Stephens, Harvard School of Public Health | |||
| 10:35 AM | Determining Informative Cutpoints When Dichotomizing Data from the Northwestern University Spore in Prostate Cancer — Irene Helenowski, Northwestern University ; Timothy Kuzel, Northwestern University ; Borko Jovanovic, Northwestern University ; Aishwarya Parameswaran , Northwestern University | ||
| 10:50 AM | A Comparison of Methods for Finding the Upper Confidence Limit for a Binomial Proportion When Zero Successes Are Observed — Courtney McCracken, Georgia Health Sciences University ; Stephen Looney, Georgia Health Sciences University | ||
| 11:05 AM | A Linear Approximation Method for Parameter Estimation in Probit Regression — Haoyu Wang, University of California at Riverside ; Subir Ghosh, University of California at Riverside | ||
| 11:20 AM | Existence of Maximum Likelihood Estimates in Categorical Regression Models — Tezcan Ozrazgat Baslanti, University of Florida ; Michael Daniels, University of Florida ; Alan Agresti, University of Florida | ||
| 11:35 AM | Classifying Time-Dependent Covariates in Modeling Correlated Data — Jeffrey Wilson, Arizona State University ; Anh Nguyen, Banner Good Samaritan Medical Center | ||
| 11:50 AM | Double, Double: Exploiting Duality to Model Dispersion — Michael T. Anderson, The University of Texas at San Antonio | ||
| 12:05 PM | Floor Discussion | ||
2011 JSM Online Program Home
For information, contact jsm@amstat.org or phone (888) 231-3473.
If you have questions about the Continuing Education program, please contact the Education Department.