Statistical Consultation Line: (865) 742-7731
  Professional Statistician For Hire
  • Research
    • Research Questions
    • Research Designs
    • Statistical Power
    • Sample Size
    • Evidence-Based Medicine
    • Diagnostic Testing
    • Epidemiology
    • Variables
  • Statistics
  • Databases
  • Surveys
  • Psychometrics
  • Education
  • Store
  • Privacy Policy

Retrospective cohort

Retrospective cohort designs establish odds associated with exposure and longitudinal effects

Retrospective cohort is the strongest retrospective observational design in terms of evidence generated. The retrospective cohort design allows researchers to calculate odds ratios and prevalence. Retrospective cohorts are also easier to apply in real-world settings. Selection bias is introduced into this study design by creating a cohort of patients without randomization. Observation biases are found in the form of relying on previous research data and the inherent error associated with measuring for pertinent predictor, confounding, and outcome variables retrospectively.

Retrospective cohort designs are great for busy clinicians and scientists

The retrospective cohort design is a "go-to" design for busy applied clinicians and scientists. Retrospective cohort designs generate evidence that provide the empirical basis for proposing future prospective and randomized studies to further establish a promising treatment effect. Retrospective cohort designs generate the highest level of observational evidence but cannot infer any causal associations.

To conduct a retrospective cohort, the researcher creates a cohort of participants that are similar in terms of demographic, prognostic, and clinical characteristics. Members of the cohort are put into independent groups based upon exposure to some sort of intervention, treatment, test, or agent.

​Researchers then follow the exposed and non-exposed groups forward to establish the risk of developing a disease state or outcome.      

Retrospective cohort designs can establish associations between exposures and outcomes using odds ratios with 95% confidence intervals. Prevalence can also be calculated with retrospective cohort designs.

Odds ratio and prevalence in retrospective cohort designs

Retrospective cohort designs provide measures of odds ratios and prevalence. These two measures are the highest level of evidence that can yielded from retrospective observational designs.
Retrospective cohort designs can establish measures of odds and prevalence.

Click on the Statistical Power button to continue.
Statistical Power
Back to Retrospective Designs
Research Engineer Home Page

Statistician Services for Professionals

$100.00
Buy Now
NEED TO HIRE A STATISTICIAN?
Eric Heidel, Ph.D. will provide the following services for researchers, professionals, and organizations at $100/hour. Secure checkout is available with Stripe or PayPal.
  • Statistical Analysis
  • Research Design
  • Sample Size Calculations
  • Diagnostic Testing and Epidemiological Calculations
  • Survey Design and Psychometrics

AppNotch: Convert this website into an Android and iOS app.

AppNotch team will notify you when your app gets approved in Google Play and Apple iTunes App Stores. Once your app goes live, enter your App Store URLs in this property window, publish your Weebly site and your app store icons will be visible in this page.

Please visit AppNotch.com FAQ to learn more about how to add App Store icons to your website, update your app, send Push notifications and more.

Professional Statistician For Hire!

Copyright © 2019 Scalë. All Rights Reserved. Patent Pending.