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Practice Questions

Epidemiology Practice Questions: Test Your Knowledge | LearnByTeaching.ai

These 40 epidemiology practice questions cover study design, measures of association, bias and confounding, and outbreak investigation. They emphasize the methodological reasoning that distinguishes rigorous epidemiological thinking from casual observation — skills essential for MPH coursework, clinical research, and public health practice.

40 questions total

Study Design

Covers cohort, case-control, cross-sectional, and randomized controlled trial designs, including their strengths and limitations.

Q1Easystudy-design

In a cohort study, participants are classified at enrollment based on their:

Q2Easystudy-design

A case-control study is particularly useful when:

Q3Easystudy-design

The primary advantage of a randomized controlled trial (RCT) over an observational study is:

Q4Easystudy-design

A cross-sectional study measures exposure and disease:

Q5Mediumstudy-design

In a nested case-control study, cases and controls are drawn from:

Q6Mediumstudy-design

Ecological studies analyze data at the level of:

Q7Mediumstudy-design

A retrospective cohort study differs from a prospective cohort study in that:

Q8Hardstudy-design

External validity (generalizability) of a study refers to:

Q9Hardstudy-design

A Mendelian randomization study uses genetic variants as:

Q10Hardstudy-design

The intention-to-treat (ITT) analysis in an RCT includes:

Measures of Association and Disease Frequency

Covers incidence, prevalence, relative risk, odds ratio, attributable risk, and number needed to treat.

Q11Easymeasures-of-association

Incidence rate measures:

Q12Easymeasures-of-association

Relative risk (risk ratio) is calculated as:

Q13Mediummeasures-of-association

The odds ratio approximates the relative risk when:

Q14Mediummeasures-of-association

Attributable risk (risk difference) measures:

Q15Mediummeasures-of-association

Number needed to treat (NNT) is calculated as:

Q16Hardmeasures-of-association

Population attributable risk percent (PAR%) answers which question?

Q17Mediummeasures-of-association

A study reports a relative risk of 1.5 with a 95% confidence interval of 0.8-2.8. This means:

Q18Hardscreening-and-surveillance

Sensitivity of a screening test is defined as:

Q19Hardscreening-and-surveillance

Positive predictive value (PPV) of a test is most affected by:

Q20Hardoutbreak-investigation

The attack rate in an outbreak investigation is:

Bias and Confounding

Covers selection bias, information bias, confounding, effect modification, and strategies to control them.

Q21Easybias-and-confounding

Confounding occurs when:

Q22Mediumbias-and-confounding

Selection bias in a case-control study can occur when:

Q23Mediumbias-and-confounding

Recall bias is a concern primarily in:

Q24Mediumbias-and-confounding

Effect modification (interaction) differs from confounding in that:

Q25Mediumbias-and-confounding

Stratified analysis (Mantel-Haenszel method) is used to:

Q26Hardbias-and-confounding

Lead-time bias in cancer screening occurs because:

Q27Hardbias-and-confounding

Directed acyclic graphs (DAGs) are used in epidemiology to:

Q28Hardbias-and-confounding

Collider bias (collider stratification bias) occurs when:

Q29Hardbias-and-confounding

Immortal time bias occurs in pharmacoepidemiological studies when:

Q30Mediumbias-and-confounding

Healthy worker effect is an example of:

Outbreak Investigation and Applied Epidemiology

Covers outbreak investigation steps, epidemic curves, surveillance systems, and field epidemiology methods.

Q31Easyoutbreak-investigation

The first step in an outbreak investigation is to:

Q32Easyoutbreak-investigation

An epidemic curve (epi curve) is most useful for determining:

Q33Mediumoutbreak-investigation

A case definition in outbreak investigation should be:

Q34Mediumscreening-and-surveillance

Active surveillance differs from passive surveillance in that:

Q35Mediumoutbreak-investigation

During a foodborne outbreak investigation, a 2x2 table comparing illness rates among those who ate and did not eat a specific food is used to calculate:

Q36Mediuminfectious-disease-epidemiology

The reproductive number (R0) represents:

Q37Hardinfectious-disease-epidemiology

Herd immunity threshold is calculated as:

Q38Easyoutbreak-investigation

John Snow's 1854 cholera investigation is a landmark in epidemiology because he:

Q39Hardinfectious-disease-epidemiology

In a pandemic, 'flattening the curve' aims to:

Q40Hardscreening-and-surveillance

Syndromic surveillance monitors:

Scoring Guide

Total possible: 40

Excellent36-40: Excellent — you have strong mastery of epidemiological methods and reasoning
Good28-35: Good — solid foundation with some gaps in quantitative measures or bias identification
Needs WorkBelow 28: Needs work — review study design fundamentals and measures of association

Study Recommendations

  • Work through classic epidemiological studies (Framingham, Doll and Hill, John Snow) to see methods applied in real investigations
  • Calculate relative risk, odds ratio, attributable risk, and NNT by hand until the formulas are automatic
  • Practice identifying biases and confounders in published papers — read the Methods section critically
  • Draw DAGs for exposure-outcome relationships before choosing an analysis strategy
  • Use 2x2 tables as your fundamental thinking tool for any association question
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