OCC Evidence-Based Medicine & Research Flashcards
6 cards from real OCC practice questions. Tap to flip, then mark Knew It or Still Learning — missed cards come back until you master them.
Read the first 6 OCC Evidence-Based Medicine & Research flashcards as text
Which bias occurs when patients who are lost to follow-up in a study differ systematically from those who complete the study?
Answer: Attrition bias (loss to follow-up bias)
Attrition bias occurs when participants who withdraw or are lost differ from those who remain, potentially skewing results.
In a cohort study examining smoking and lung cancer, researchers find a hazard ratio (HR) of 3.2. What does this represent?
Answer: Smokers are 3.2 times more likely to develop lung cancer over time than non-smokers
A hazard ratio of 3.2 means the exposed group (smokers) have 3.2 times the instantaneous rate of the outcome (lung cancer) compared to the unexposed.
A p-value of 0.03 is reported in a clinical trial. What does this indicate?
Answer: There is a 3% probability that the observed difference occurred by chance if the null hypothesis is true
A p-value is the probability of observing results as extreme as those found, assuming the null hypothesis (no difference) is true.
Which study design is most appropriate for investigating the cause of a rare disease?
Answer: Case-control study
Case-control studies are efficient for rare diseases because they start with cases (people who have the disease) and work backward to identify exposures.
What is the purpose of an intention-to-treat (ITT) analysis in a randomized controlled trial?
Answer: Analyze all randomized participants in their originally assigned groups regardless of protocol adherence
ITT analysis preserves randomization and prevents overestimation of efficacy by including all participants in their originally assigned groups.
Confidence intervals (CI) that cross 1.0 for relative risk or odds ratio indicate what about statistical significance?
Answer: The result is not statistically significant at the chosen alpha level
When a 95% CI for RR or OR crosses 1.0, it includes the null hypothesis of no effect, meaning the result is not statistically significant at p < 0.05.
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