Cohort Studies: Design, Analysis, and Reporting

Xiaofeng Wang; Michael W Kattan

doi:10.1016/j.chest.2020.03.014

Cohort Studies: Design, Analysis, and Reporting

Chest. 2020 Jul;158(1S):S72-S78. doi: 10.1016/j.chest.2020.03.014.

Authors

Xiaofeng Wang¹, Michael W Kattan²

Affiliations

¹ Department of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH. Electronic address: wangx6@ccf.org.
² Department of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH.

PMID: 32658655
DOI: 10.1016/j.chest.2020.03.014

Abstract

Cohort studies are types of observational studies in which a cohort, or a group of individuals sharing some characteristic, are followed up over time, and outcomes are measured at one or more time points. Cohort studies can be classified as prospective or retrospective studies, and they have several advantages and disadvantages. This article reviews the essential characteristics of cohort studies and includes recommendations on the design, statistical analysis, and reporting of cohort studies in respiratory and critical care medicine. Tools are provided for researchers and reviewers.

Keywords: bias; cohort studies; confounding; prospective; retrospective.

Publication types

Review

MeSH terms

Cohort Studies*
Data Interpretation, Statistical
Guidelines as Topic
Humans
Research Design / statistics & numerical data*