Related Experiment Video
Updated: Dec 28, 2025

An R-Based Landscape Validation of a Competing Risk Model
Published on: September 16, 2022
Analyzing the Relationship between Cohort and Case-Control Study Results Based on Model for Multiple Pathogenic
1Department of Clinical Immunology, Dalian Medical University, Dalian 116044, China.
Objective:
Although the relative risk from a prospective cohort study is numerically approximate to the odds ratio from a case-control study for a low-probability event, a definite relationship between case-control and cohort studies cannot be confirmed. In this study, we established a different model to determine the relationship between case-control and cohort studies.
Methods:
Two analysis models (the cross-sectional model and multiple pathogenic factor model) were established. Incidences in both the exposure group and the nonexposure group in a cohort study were compared with the frequency of the observed factor in each group (diseased and nondiseased) in a case-control study.
Results:
The relationship between the results of a case-control study and a cohort study is as follows: Pe=(Pd∗m)/(Pc∗m)/(Pd∗m)/(Pn=(m)/(∗PdPc∗m)/(Pd∗m)/(Pe and Pn represent the incidence in the exposed group and nonexposed group, respectively, from the cohort study, while Pd and Pc represent the observed frequencies in the disease group and the control group, respectively, for the case-control study; finally, m)/(.
Conclusions:
There is a definite relationship between the results of case-control and cohort studies assessing the same exposure. The outcomes of case-control studies can be translated into cohort study data.
Related Concept Videos
Causality in Epidemiology
Criteria for Causality: Bradford Hill Criteria - II
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
Confounding in Epidemiological Studies
Factors Affecting Illness
For instance, risk factors are connected to illness,...
Bias in Epidemiological Studies

