measurement_manipulation
High yield

Statistics & Epidemiology for MRCOG Part 1

Our blueprint estimate puts 10–15 of the 200 questions in statistics & epidemiology, about 6.3% of the paper, spread across both papers. It is our estimate, not a figure published by the RCOG. One of the heaviest-weighted areas on the paper.

Estimated questions

10–15

of 200

Syllabus topics

10

in our syllabus map

Domain

measurement_manipulation

3 other areas

How statistics & epidemiology is examined

Statistics questions test whether you can read evidence, because that is what the exam later expects you to do with trial results and screening programmes. They reward fluent use of a small set of ideas more than memorised definitions.

What statistics & epidemiology covers

The 10 syllabus topics we map to Statistics & Epidemiology for Part 1.

  • Study design (RCTs, cohort, case-control, cross-sectional)
  • Bias and confounding
  • Sensitivity, specificity, PPV, NPV
  • Likelihood ratios
  • Number needed to treat (NNT)
  • Relative risk, odds ratio, absolute risk reduction
  • Confidence intervals and p-values
  • Meta-analysis and systematic reviews
  • Screening principles (Wilson-Jungner criteria)
  • Audit methodology

High-yield statistics & epidemiology topics

Study design and bias

Know what each design can and cannot show. Case-control studies are efficient for rare outcomes and prone to recall bias. Lead-time bias can make a screening programme look effective when it is not.

Statistics and Epidemiology for MRCOG

Confidence intervals and screening criteria

An interval for a ratio that includes one is not statistically significant. Screening programmes are judged against the Wilson-Jungner criteria and are best evaluated on mortality rather than survival.

Statistics and Epidemiology for MRCOG

Common exam traps

  • Reporting predictive values as fixed properties of a test.
  • Using the wrong null value: ratios are null at one and differences at zero.
  • Choosing the biased analysis when an intention-to-treat analysis is the conservative one.

How to revise statistics & epidemiology

Work through numbers, not definitions. Take any trial report and build the two-by-two table, compute each measure and say what it means in a sentence. Alternate between study design questions and calculation questions, so that neither goes stale. Finish each session by naming the bias most likely to affect the design you have just read about.

Where statistics & epidemiology fits in Part 1

Part 1 is 200 single best answer questions across two papers with no negative marking, so an informed guess always beats a blank. Statistics is a high-yield area in our blueprint estimate and it overlaps with data interpretation, so the two reward being revised together. Practise with real tables, not just formulae.

Practise statistics & epidemiology questions

Every question is original and written from published RCOG and NICE guidance, and every explanation cites the guideline it came from. Free: 5 days full access, then 50 questions. No card.

Guideline summaries for statistics & epidemiology

Published RCOG and NICE guidance summarised for revision, with the source cited on every page.

Other measurement_manipulation areas

MRCOG AI is an independent educational tool. It is not affiliated with, endorsed by, or connected to the Royal College of Obstetricians and Gynaecologists (RCOG).