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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2022.11
- 수록면
- 1,175 - 1,188 (14page)
- DOI
- 10.7465/jkdi.2022.33.6.1175
이용수
초록· 키워드
오류제보하기
Several studies have been conducted on the relationship between smoking and depressive symptoms using observational study data. This manuscript examines if smoking has a causal effect on depressive symptoms using the 8th Korea national health and nutrition examination survey data. We conduct propensity score matching to reduce the self-selection bias of the observational study through balancing covariates to estimate the average treatment effect for the treatment group. In the propensity score matching process, this paper focuses on two major cautions. First, if the outcome variable is binary, the marginal effect may not coincide with the conditional effect. Thus, we use G-computation to estimate the marginal effect, robustly. Second, in the complex survey sampling data, we consider complex survey design when the target population is entire, not the group of respondents. The result shows that smoking can lead to an increase in depressive symptoms based on the causal inference approach, and it is the same between the entire population and the group of survey respondents.
목차
Abstract
1. Introduction
2. Statistical methods in causal inference
3. Korea national health and nutrition examination survey
4. Investigation of causal effects
5. Discussion and conclusion
References
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UCI(KEPA) : I410-ECN-0101-2023-041-000229039