2023년도 제 18회 BK 통계 세미나 개최를 안내드립니다.
고려대학교 통계학과 통계연구소, BK21 통계학교육연구팀과 DS+ 사업단 주최로 이루어지는 세미나입니다.
일시 : 2023년 12월 14일 (목) 오후 05시
장소 : 고려대학교 정경관 206호
연사 : Joseph Kang professor (US Census Bureau)
주제 :
Causal inference of latent classes in complex survey data with the estimating equation framework
Abstract :
Latent class analysis (CA) has been effectively used to cluster multiple survey
items. However, causal inference with an exposure variable, identified by an LCA model, is challenging because (1) the exposure variable is unobserved and harbors the uncertainty of estimating parameters in the LCA model and (2) confounding bias adjustments need to be done with the unobserved LCA-driven exposure variable. In addition to these challenges, complex survey design features and survey weights must be accounted for if they are present. Our solutions to these issues are to (1)
assess point estimates with the expected estimating function approach and (2) modify
the survey design weights with LCA-based propensity scores. This paper aims to introduce a statistical procedure to apply the estimating equation approach to assessing the effects of LCA-driven cause in complex survey data using an example of the National Health and Nutrition Examination Survey.
홍보 자료 : 첨부파일 확인 부탁드립니다
[온라인 세미나 참여 링크]
ZOOM 링크
https://korea-ac-kr.zoom.us/j/81311119137?pwd=R0Z3SDM1ZG5kdzRzQnRkQ0cvSXNkdz09
- Zoom ID: 813 1111 9137
- Password: Kustat123@