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

被引：0

作者：

Dahabreh, Issa J. ^{[1
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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.

引用

页码：741 / 750

页数：10