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133rd Annual Meeting & Exposition December 10-14, 2005 Philadelphia, PA |
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4340.0: Tuesday, December 13, 2005: 4:30 PM-6:00 PM | |||
Oral | |||
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The purpose of this session is to introduce individuals in the fields of biostatistics, environmental health and epidemiology to the role of quantitative methods in public health research. | |||
Learning Objectives: At the conclusion of the session, the participant (learner) in this session will be able to: 1. Understand the utility of causal effects modeling. 2. Be able to identify situations that benefit most from causal modeling. 3. Learn how marginal structural models can be used to estimate causal effects. | |||
Mark Van der Laan, PhD | |||
Mark Van der Laan, PhD | |||
Population Intervention Models in Causal Inference Alan Hubbard, PhD | |||
History Adjusted Marginal Structural Models: Applications in AIDS Research Maya Petersen | |||
Honest Confidence Intervals for Causal Effects in the Presence of Many Potential Confounders James M. Robins, MD, Eric Tchetgen, Lingling Li | |||
See individual abstracts for presenting author's disclosure statement and author's information. | |||
Organized by: | Statistics | ||
Endorsed by: | Epidemiology; Maternal and Child Health | ||
CE Credits: | CME, Health Education (CHES), Nursing |
The 133rd Annual Meeting & Exposition (December 10-14, 2005) of APHA