Related Experiment Video
Updated: Apr 3, 2026

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
Published on: July 27, 2018
Clinical Research Methodology 2: Observational Clinical Research
Daniel I Sessler1, Peter B Imrey
1From the Department of Outcomes Research, Anesthesiology Institute, Cleveland Clinic, Cleveland, Ohio; and Department of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio.
Case-control and cohort studies are powerful research designs but are prone to biases like confounding and selection bias. Establishing causality is challenging in observational research due to the lack of controlled exposures.
Area of Science:
- Clinical Research Methodology
- Epidemiology
- Biostatistics
Background:
- Case-control and cohort studies are essential research designs for clinical investigations.
- These observational studies can utilize retrospective, ambidirectional, or prospective data collection.
- However, they are susceptible to various biases, including selection bias, confounding, and measurement bias.
Purpose of the Study:
- To review different types of observational clinical research designs.
- To discuss the inherent limitations and potential errors in observational studies.
- To highlight the challenges in establishing causality from observational data.
Main Methods:
- Review of case series, comparative case-control, and cohort studies.
- Discussion of hybrid designs combining case-control analyses within cohorts.
- Analysis of analytic issues in comparing non-equivalent groups in observational studies.
Main Results:
- Observational studies are prone to errors such as selection bias, confounding, and reverse causation.
- Statistical control for confounding is possible but limited by unknown factors.
- Definitive determination of causality is difficult without controlled experimental manipulation.
Conclusions:
- While invaluable, observational studies have inherent limitations affecting the certainty of findings.
- Careful consideration of potential biases and confounders is crucial for valid interpretation.
- The review underscores the challenges in establishing definitive causal relationships in clinical research.
More Related Videos
Related Concept Videos
Observational Studies
There are three types of observational studies – Prospective, retrospective, and cross-sectional.
Prospective Study
Prospective studies, also known as longitudinal or cohort studies, are carried out by collecting future data from groups sharing similar characteristics. One...
Data Collection by Observations
An astronomer viewing the motion and brightness of stars in the sky and recording the data is an example of observational data collection. A botanist recording...
Naturalistic Observations
Clinical Trials
There are four phases in a clinical trial. A phase one...
Case Studies
Data Collection by Experiments
An example of the experimental method is a public...

