Introduction:
Observational study designs—cohort, case-control, and cross-sectional—are foundational tools in clinical research and pharmacovigilance. For M. Pharm students, understanding these designs is essential for evaluating drug safety, identifying risk factors, and interpreting real-world evidence. Cohort studies measure incidence and can establish temporality; case-control studies are efficient for rare outcomes and use odds ratios; cross-sectional studies assess prevalence and generate hypotheses. This quiz collection presents focused MCQs that deepen comprehension of study selection, measures of association, sampling strategies, biases, confounding, and analytic approaches commonly used in observational research. Practicing these questions will strengthen critical appraisal skills required in advanced pharmacovigilance and clinical research.
Q1. Which observational design follows exposed and unexposed groups forward in time to compare incidence of outcomes?
- Cohort study
- Case-control study
- Cross-sectional study
- Ecological study
Correct Answer: Cohort study
Q2. Which study design selects participants based on outcome status and retrospectively assesses prior exposures?
- Cohort study
- Case-control study
- Cross-sectional study
- Randomized controlled trial
Correct Answer: Case-control study
Q3. Which design primarily provides a snapshot estimate of disease prevalence at a single point in time?
- Prospective cohort study
- Case-control study
- Cross-sectional study
- Nested case-control study
Correct Answer: Cross-sectional study
Q4. What is the preferred measure of association estimated directly in a cohort study comparing cumulative incidences?
- Odds ratio
- Relative risk (risk ratio)
- Prevalence ratio
- Attributable fraction
Correct Answer: Relative risk (risk ratio)
Q5. What measure of association is most commonly used in case-control studies?
- Risk difference
- Incidence rate ratio
- Odds ratio
- Hazard ratio
Correct Answer: Odds ratio
Q6. For investigating a rare disease with limited resources, which observational design is usually most efficient?
- Prospective cohort study
- Case-control study
- Cross-sectional study
- Ecological time-trend study
Correct Answer: Case-control study
Q7. Which study approach uses person-time denominators to calculate incidence rates?
- Cross-sectional study
- Case-control study
- Cohort study
- Ecological study
Correct Answer: Cohort study
Q8. A nested case-control study is best described as which of the following?
- A case-control study nested within a defined cohort
- A cross-sectional survey repeated over time
- An ecological comparison across regions
- A randomized sampling of cases without controls
Correct Answer: A case-control study nested within a defined cohort
Q9. Matching in case-control studies is used primarily to:
- Increase sample size
- Eliminate all bias
- Reduce confounding by equalizing matched variables between cases and controls
- Convert a retrospective design into a prospective one
Correct Answer: Reduce confounding by equalizing matched variables between cases and controls
Q10. Which type of bias is particularly a concern in case-control studies relying on participant recall of past exposures?
- Selection bias
- Confounding bias
- Recall (information) bias
- Observer-expectancy bias
Correct Answer: Recall (information) bias
Q11. High loss to follow-up in a prospective cohort study threatens validity mainly through:
- Random error
- Attrition bias leading to selection bias and potential confounding
- Improved generalizability
- Increased incidence rates automatically
Correct Answer: Attrition bias leading to selection bias and potential confounding
Q12. Which sampling approach selects controls who are at risk at the time each case occurs, often used in nested case-control studies?
- Case-cohort sampling
- Incidence density (risk-set) sampling
- Simple random sampling of the entire cohort at baseline
- Cross-sectional sampling
Correct Answer: Incidence density (risk-set) sampling
Q13. Which study design can directly estimate disease incidence?
- Case-control study
- Cohort study
- Cross-sectional study
- Ecological study
Correct Answer: Cohort study
Q14. Under what condition does the odds ratio from a case-control study approximate the relative risk?
- When exposure is rare
- When outcome is rare
- Only when matching is used
- When the sample size is small
Correct Answer: When outcome is rare
Q15. Which observational design is typically quickest and least expensive to conduct for assessing associations at a single time point?
- Prospective cohort study
- Case-control study
- Cross-sectional study
- Longitudinal panel study
Correct Answer: Cross-sectional study
Q16. A case-cohort study differs from a nested case-control study mainly because:
- Controls are selected as a random subcohort at baseline and can serve multiple outcomes
- It only includes incident cases and no controls
- It samples controls only after each case event
- It is identical to cross-sectional sampling
Correct Answer: Controls are selected as a random subcohort at baseline and can serve multiple outcomes
Q17. Which design best ensures temporality between exposure and outcome for causal inference?
- Cross-sectional study
- Case-control study
- Prospective cohort study
- Ecological study
Correct Answer: Prospective cohort study
Q18. Selecting controls from a hospital population when cases are community-based is an example of which problem?
- Information bias
- Selection bias
- Confounding by indication
- Measurement bias
Correct Answer: Selection bias
Q19. Which measure is obtained from survival analysis (e.g., Cox proportional hazards model) and compares time-to-event between groups?
- Odds ratio
- Risk difference
- Hazard ratio
- Prevalence ratio
Correct Answer: Hazard ratio
Q20. In observational studies, which analytic method is commonly used to adjust simultaneously for multiple confounders?
- Randomization
- Stratified crude analysis
- Matching only
- Multivariable regression (e.g., logistic or Cox regression)
Correct Answer: Multivariable regression (e.g., logistic or Cox regression)

I am a Registered Pharmacist under the Pharmacy Act, 1948, and the founder of PharmacyFreak.com. I hold a Bachelor of Pharmacy degree from Rungta College of Pharmaceutical Science and Research. With a strong academic foundation and practical knowledge, I am committed to providing accurate, easy-to-understand content to support pharmacy students and professionals. My aim is to make complex pharmaceutical concepts accessible and useful for real-world application.
Mail- Sachin@pharmacyfreak.com

