https://scholars.lib.ntu.edu.tw/handle/123456789/521799
標題: | Estimation of a common effect parameter from follow-up data when there is no mechanistic interaction | 作者: | WEN-CHUNG LEE | 公開日期: | 2014 | 出版社: | Public Library of Science | 卷: | 9 | 期: | 1 | 來源出版物: | PLoS ONE | 摘要: | In a stratified analysis, the results from different strata if homogeneity assumption is met are pooled together to obtain a single summary estimate for the common effect parameter. However, the effect can appear homogeneous across strata using one measure but heterogeneous using another. Consequently, two researchers analyzing the same data can arrive at conflicting conclusions if they use different effect measures. In this paper, the author draws on the sufficient component cause model to develop a stratified-analysis method regarding a particular effect measure, the 'peril ratio'. When there is no mechanistic interaction between the exposure under study and the stratifying variable (i.e., when they do not work together to complete any sufficient cause), the peril ratio is constant across strata. The author presents formulas for the estimation of such a common peril ratio. Three real data are re-analyzed for illustration. When the data is consistent with peril-ratio homogeneity in a stratified analysis, researchers can use the formulas in this paper to pool the strata. ? 2014 Wen-Chung Lee. |
URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84925222575&doi=10.1371%2fjournal.pone.0086374&partnerID=40&md5=09c177802dc442f8146067c95dc668e3 https://scholars.lib.ntu.edu.tw/handle/123456789/521799 |
ISSN: | 1932-6203 | DOI: | 10.1371/journal.pone.0086374 | SDG/關鍵字: | article; common effect parameter; data processing; disease free survival; follow up; human; mechanistic interaction; peril ratio; probability; risk assessment; statistical parameters; stratified sample; validity; cannabis smoking; Cocaine-Related Disorders; Heart Diseases; risk factor; statistical model; type A behavior; type B behavior; Cocaine-Related Disorders; Epidemiologic Methods; Follow-Up Studies; Heart Diseases; Humans; Marijuana Smoking; Models, Statistical; Risk Factors; Type A Personality; Type B Personality |
顯示於: | 流行病學與預防醫學研究所 |
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