Invited Commentary: Combining Information to Answer Epidemiologic Questions About a Target Population

被引：0
|
作者：
Dahabreh, Issa J. [1 ,2 ,3 ,4 ]
机构：
[1] Harvard TH Chan Sch Publ Hlth, CAUSA Lab, Boston, MA 02115 USA
[2] Harvard Univ, CAUSA Lab, Harvard TH Chan Sch Publ Hlth, Boston, MA USA
[3] Harvard Univ, Harvard TH Chan Sch Publ Hlth, Dept Epidemiol, Boston, MA USA
[4] Harvard Univ, Harvard TH Chan Sch Publ Hlth, Dept Biostat, Boston, MA USA
来源：
AMERICAN JOURNAL OF EPIDEMIOLOGY | 2024年 / 193卷 / 05期
关键词：
combining information; epidemiologic methods; generalizability; research questions; transportability; RANDOMIZED CLINICAL-TRIALS; CAUSAL INFERENCE; CRITICAL-LOOK; DATA-FUSION; MERGED DATA; METAANALYSIS; TRANSPORTABILITY; REPRESENTATIVENESS; HETEROGENEITY; DESIGNS;
D O I：
10.1093/aje/kwad014
中图分类号：
R1 [预防医学、卫生学];
学科分类号：
1004 ; 120402 ;
摘要：
Epidemiologists are attempting to address research questions of increasing complexity by developing novel methods for combining information from diverse sources. Cole et al. (Am J Epidemiol. 2023;192(3)467-474) provide 2 examples of the process of combining information to draw inferences about a population proportion. In this commentary, we consider combining information to learn about a target population as an epidemiologic activity and distinguish it from more conventional meta-analyses. We examine possible rationales for combining information and discuss broad methodological considerations, with an emphasis on study design, assumptions, and sources of uncertainty.
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页码：741 / 750
页数：10
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