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American Public Health Association
133rd Annual Meeting & Exposition
December 10-14, 2005
Philadelphia, PA
APHA 2005
 
Session: Annual Statistical Methodology Session: Marginal Structural Models for Causal Inference
4340.0: Tuesday, December 13, 2005: 4:30 PM-6:00 PM
Oral
Annual Statistical Methodology Session: Marginal Structural Models for Causal Inference
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.
Organizer(s):Mark Van der Laan, PhD
Presider(s):Mark Van der Laan, PhD
4:30 PMPopulation Intervention Models in Causal Inference
Alan Hubbard, PhD
4:50 PMHistory Adjusted Marginal Structural Models: Applications in AIDS Research
Maya Petersen
5:10 PMHonest 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