- 영문명
- 발행기관
- 한국환경보건학회
- 저자명
- Kyung Ehi Zoh Domyung Paek
- 간행물 정보
- 『한국환경보건학회 학술대회 자료집』2018년 봄 학술대회 자료집, 19~42쪽, 전체 24쪽
- 주제분류
- 공학 > 환경공학
- 파일형태
- 발행일자
- 2018.05.31
국문 초록
영문 초록
Often information on the exposed are unavailable when suspicions are raised on the development of chronic diseases from exposures to small area sources in the community or in the workplace. Without the appropriate information on the denominators of the risk rate, we tried to come up with testable case-only approaches to examine no effect assumptions of past exposures.
With the assumptions of no-bias in the report of case and stability of population characteristics, we have examined testable hypothesis of no exposure effects from small area sources recursively based on previously known exposure scenarios. Two groups of casesubgroup approaches, one with standardized ratios of cases of Ever/Now Exposed and Ever/Now Unexposed, the other with odds ratio of two Independent Exposure Characteristics among diseased, are proposed in this study for the investigation of the differences in exposure subgroups on the disease outcome.
As in the reverse engineering, where the cause of success or failures in the performance of engineered products is understood by going back from the finished products to the assembled parts, the case-subgroup analysis is to understand the potential causal role of exposure scenarios with only the data on cases available, by going back from the diseased to their presumed exposure sources based on known mechanisms.
목차
[1] Backgrounds and Objectives
[2] Settings and Strategies of Approaches based on Minimum Assumptions
[3] Potential Case-subgroup Approaches for Different Exposure Scenarios
[4] Discussions
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