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This is the preliminary program for the 2009 Joint Statistical
Meetings in Washington, DC.
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The views expressed here are those of the individual authors and not necessarily those of the ASA or its board, officers, or staff. Back to main JSM 2009 Program page |
= Applied Session,
= Theme Session,
= Presenter| 263 | Tue, 8/4/09, 8:30 AM - 10:20 AM | CC-144A |
| Assessing Effects of Interventions in Longitudinal Naturalistic Data - Topic Contributed - Papers | ||
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Section on Health Policy Statistics |
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| Organizer(s): Douglas Faries, Eli Lilly and Company | ||
| Chair(s): Robert Obenchain, Risk Benefit Statistics LLC | ||
| 8:35 AM |
Assessing Causal Treatment Effects in Longitudinal Naturalistic Data: Challenges and Methods —  Douglas Faries, Eli Lilly and Company; Alan Brnabic, Eli Lilly and Company
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| 8:55 AM |
Considerations in Applying Marginal Structural Models to Analyze Longitudinal Naturalistic Data — Ouhong Wang, Amgen, Inc.
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| 9:15 AM |
Maximum Likelihood Estimation of the Structural Nested Mean Model Using SAS PROC NLP — Daniel Almirall, Duke University; Cynthia Coffman, Duke University Medical Center; William S. Yancy, Jr., Duke University; Susan Murphy, University of Michigan
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| 9:35 AM |
Estimating Volume-Outcome Associations from Longitudinal Naturalistic Data — Benjamin French, University of Pennsylvania; Farhood Farjah, University of Washington; David R. Flum, University of Washington; Patrick Heagerty, University of Washington
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| 9:55 AM |
Data-Mining Techniques for Longitudinal Naturalistic Data — Anthony Zagar, Eli Lilly and Company; Robert Obenchain, Risk Benefit Statistics LLC
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| 10:15 AM | Floor Discussion | |
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JSM 2009
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. |