18. Case/Control Studies Flashcards
standard set of summary questions to asses the quality of a case-control study
- Was there a pre-specified hypothesis defining a relationship between an exposure and outcome?
- Were the exposure and health outcome clearly and operationally defined?
- Was the control group appropriate?
- Was the measurement of exposure both in the cases and controls accurate and unbiased?
- Was the measurement of the outcome both in the cases and controls accurate and unbiased?
- Were the important confounding variables accounted for and controlled for in the statistical analysis?
design of case-control study
- Select representative cases (with study outcome)
- Select comparable controls (without study outcome)
- Look historically in both groups for exposure
- Compare odds of exposure in cases and controls
strengths of case control studies
- Good for outcomes with long latent periods
- Inexpensive
- Optimal for evaluation of rare diseases or rare outcomes
- Can examine multiple risk factors for a single disease or outcome
weaknesses of case-control studies
- Particularly prone to biases and confounding
- Statistical association but not true cause and effect
- Inefficient for evaluation of rare exposures
bias
- error in design or conduct of a study
- Any systematic error in the design, conduct, or analysis of a study that results in a mistaken estimate of an exposure’s effect on the risk of disease or risk of outcome
- Systematic error results from flaws either in the method of selection of study participants (cases and controls) or in the procedures for gathering relevant exposure and/or outcome info
- Validity depends upon methods by which subjects are selected for study and classified by the four categories (diseased, non-diseased, exposed, and unexposed)
- If bias exists, the observed study results will be different from true results ( = tendency towards erroneous results)
- Classification of bias
- Selection bias
Present when individuals have different probabilities of being included in the study sample according to relevant study characteristics; most often the exposure and outcome of interest
* medical surveillance bias * Eg OCPs and side effects * (someone on OCPs is more likely to see a doctor) * Choice of conrols * Eg hospital controls may not come from the base population of interest
Information bias
Results from a systematic tendency for individuals selected for inclusion in the study to be erroneously placed in different exposure/outcome categories, thus leading to misclassification
- recall bias
information bias vs selection bias
- Selection bias
Present when individuals have different probabilities of being included in the study sample according to relevant study characteristics; most often the exposure and outcome of interest
* medical surveillance bias * Eg OCPs and side effects * (someone on OCPs is more likely to see a doctor) * Choice of conrols * Eg hospital controls may not come from the base population of interest
Information bias
Results from a systematic tendency for individuals selected for inclusion in the study to be erroneously placed in different exposure/outcome categories, thus leading to misclassification
- recall bias
confounders
Variables entangled with the study factor that masks the true relationship between the study factor and outcome
Odds Ratio
OR = (a/c) / (b/d)
Outcome +
Outcome -
Total
Exposure +
a
b
Exposure -
c
d
Odds
a/c
b/d
Odds ratio of X means that the ratio of exposure among cases compared to controls is X.
If incidence of cases among exposed is rare (<5%), it means that OR = RR (those who are exposed are X timre more likely to develop case than non-exposed)