If you’ve moved past the basics of public health and are now diving into Advanced Epidemiology (Epidemiology I), you already know that the stakes are higher. This isn’t just about defining terms; it’s about mastering the complex machinery of human disease. At this level, you are expected to navigate the “gray areas” of research—calculating risk, adjusting for confounding variables, and critiquing the validity of global health studies.
Below is the exam paper download link
MPH-5112HPE-7113-EPIDEMIOLOGY-IADVANCED-EPIDEMIOLOGY
Above is the exam paper download link
The jump from introductory concepts to advanced application is often where students struggle. The best way to bridge that gap isn’t by rereading your heavy textbooks for the tenth time. Instead, you need to get your hands dirty with real-world problems. By choosing to Download the Advanced Epidemiology past paper, you are giving yourself a roadmap of what to expect when the exam clock starts ticking.
Advanced Revision Questions & Answers
Q1: What is “Confounding” and how do we control for it? Confounding occurs when an external factor is associated with both the exposure and the outcome, potentially distorting the true relationship. For example, in a study on coffee and heart disease, smoking could be a confounder. In an advanced exam, you must explain that we control for this through Randomization (during design) or Stratification and Multivariable Regression (during analysis).
Q2: How do you distinguish between Selection Bias and Information Bias?
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Selection Bias: This happens when the people included in your study aren’t representative of the target population (e.g., the “Healthy Worker Effect”).
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Information Bias: This occurs during data collection, often as Recall Bias (where cases remember exposures better than controls) or Interviewer Bias. Advanced papers often ask you to suggest ways to minimize these, such as using blinded investigators or standardized questionnaires.
Q3: Can you explain the difference between Attributable Risk and Relative Risk?
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Relative Risk (RR): Tells us the strength of an association (e.g., “Smokers are 10 times more likely to get lung cancer”).
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Attributable Risk (AR): Tells us the public health impact. It measures how much of the disease in a population would be eliminated if the exposure was removed. In exams, AR is usually the key to answering “priority setting” questions.
Q4: What are the criteria for “Causality” according to Bradford Hill? At this level, “correlation does not imply causation” isn’t enough. You should be able to list and apply several of Bradford Hill’s criteria, such as:
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Strength of Association
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Consistency (seen in different studies)
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Temporality (exposure must come before the disease)
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Biological Plausibility
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Dose-Response Relationship
Why Advanced Students Rely on Past Papers
Advanced Epidemiology is notoriously technical. You might understand the theory of a Cox Proportional Hazards Model, but can you interpret the output under pressure? Practicing with an Advanced Epidemiology (Epidemiology I) past paper allows you to:
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Master the Calculations: Many papers require you to calculate Odds Ratios (OR) or Hazard Ratios (HR). Doing this by hand ensures you don’t get confused by the formulas during the final.
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Sharpen Critical Appraisal: You will likely be given a summary of a study and asked to find its “fatal flaw.” Past papers train your eye to look for bias and lack of power.
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Learn the Mark Allocation: In advanced units, “listing” might get you 2 marks, but “justifying your choice of study design” could be worth 10. You need to know where to spend your energy.
Conclusion: Secure Your Academic Future
Mastering epidemiology is about more than just passing a class; it’s about gaining the skills to solve the world’s most pressing health crises. Whether you are aiming for a career in research, policy, or clinical practice, a solid grade here is your foundation. Use the link below to access the most relevant revision materials and ensure you walk into your exam room fully prepared.