A1457
Title: Issues in causal inference using matching with longitudinal survey data
Authors: Karen Messer - University of California, San Diego (United States) [presenting]
Natalie Quach - University of California San Diego (United States)
Chen Jiayu - University of California San Diego (United States)
Abstract: Matching methods are well-established as a popular approach to inference, with well-developed tools and methods, and effective use in the public health literature. Several problems encountered in population studies of smoking behavior using longitudinal survey data are outlined, including questions of mediation and of adjusting for prognostic variables. In the setting of large-scale complex surveys, additional questions always include how and when to incorporate survey weights, and how to carry out resampling-based approaches to inference.
