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Invited Commentary: Combining Information to Answer Epidemiologic Questions About a Target Population
American Journal of Epidemiology
|March 8, 2024
Summary
Epidemiologists are exploring new ways to combine diverse data for complex research questions. This commentary distinguishes this approach from meta-analysis, focusing on rationales, study design, and uncertainty in population proportion inference.
Area of Science:
- Epidemiology
- Biostatistics
Background:
- Epidemiologists face increasingly complex research questions.
- Novel methods are needed to combine information from diverse sources.
Purpose of the Study:
- To examine the process of combining information for population inference.
- To distinguish this activity from conventional meta-analyses.
- To discuss rationales, study design, assumptions, and uncertainty.
Main Methods:
- The commentary reviews two examples of information combination from Cole et al.
- It analyzes the epidemiologic activity of combining information for target population inference.
Main Results:
- Combining diverse information is a distinct epidemiologic activity.
- Key considerations include rationales, study design, assumptions, and uncertainty.
Conclusions:
- Novel methods for combining information are crucial for addressing complex epidemiologic research.
- Careful consideration of methodological aspects is essential for valid population inference.
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