html5-img
1 / 11

Understanding real research 2.

Understanding real research 2. Case control studies. What can studies do?. Describe the situation: Descriptive . Explain the situation: Analytical . Compare approaches: Experimental . Study designs. Descriptive Cross-sectional, longitudinal. Analytic Case-control studies.

declan
Download Presentation

Understanding real research 2.

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Understanding real research 2. Case control studies.

  2. What can studies do? Describe the situation: Descriptive. Explain the situation: Analytical. Compare approaches: Experimental.

  3. Study designs. • Descriptive • Cross-sectional, longitudinal. • Analytic • Case-control studies. • Cohort studies. • Quasi-experimental • Natural experiments, policy interventions. • Experimental • Randomised controlled trial.

  4. Study designs

  5. Past Present Future Cross-sectional Case-control Cohort From Altman. Practical Statistics for Medical Research, 1991.

  6. Case control studies: Key features. Retrospective, i.e. backward looking. Relate an effect or outcome to a probable cause. Individuals with disease (cases) compared to individuals without disease (controls).

  7. Case control study. From: http://library.downstate.edu/EBM2/2500.htm

  8. Advantages & disadvantages

  9. Appraising case control studies Methodological approach: Are cases and controls similar, except for exposure to the putative cause? Is collection of retrospective data objective? Is there evidence of “causation”? Statistical reporting: Type of data – influences statistical analysis. Reporting of risk.

More Related