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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.
Computational and Mathematical Methods in Medicine
|February 22, 2020
Summary
This study establishes a new model to determine the relationship between case-control and cohort studies. Findings confirm a definite link, allowing case-control study outcomes to be translated into cohort study data.
Area of Science:
- Epidemiology
- Biostatistics
Background:
- Relative risk from cohort studies approximates odds ratios from case-control studies for rare events.
- A confirmed relationship between case-control and cohort study methodologies is lacking.
Purpose of the Study:
- To establish a novel model defining the relationship between case-control and cohort study results.
- To confirm a definite relationship between these two epidemiological study designs.
Main Methods:
- Developed two analysis models: a cross-sectional model and a multiple pathogenic factor model.
- Compared incidences from cohort study exposure and non-exposure groups with case-control study factor frequencies in diseased and non-diseased groups.
Main Results:
- Established mathematical formulas demonstrating the relationship between cohort study incidences (Pe, Pn) and case-control study frequencies (Pd, Pc).
- The derived relationship confirms a quantifiable link between the two study types.
Conclusions:
- A definite relationship exists between case-control and cohort studies for evaluating the same exposure.
- Outcomes from case-control studies can be reliably translated into cohort study data.
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