Issues in causal inference using matching with longitudinal survey data

Karen Messer Speaker
UCSD Division of Biostatistics and Bioiformatics
 
Jiayu Chen Co-Author
UC San Diego
 
Natalie Quach Co-Author
UC-San Diego
 
Thursday, Aug 6: 9:05 AM - 9:20 AM
3268 
Contributed Papers 
Thomas M. Menino Convention & Exhibition Center 
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.

Keywords

Matching

causal inference

survey statistics

mediation 

Main Sponsor

Survey Research Methods Section