Absolute risk
events / total people
Use this before comparing treatment and control groups.
Statistics is not just a formula section. In the AKT, evidence-based practice includes data interpretation, charts, prescribing data, confidence intervals, risk communication, study design terminology and the calculations trainees often avoid.
Statistics and evidence
AKT statistics is high-yield because it is predictable. Focus on sensitivity, specificity, PPV, NPV, NNT, ARR, RRR, confidence intervals, study design and interpretation of results. Practise turning wordy questions into a 2x2 table or a simple risk comparison.
Sensitivity, specificity, PPV and NPV
Absolute risk, relative risk, ARR, ARI, NNT and NNH
Confidence intervals and statistical significance
Forest plots, bar charts and prescribing dashboards
Study designs and common research terminology
Practice-level data, prescribing rates and referral data
events / total people
Use this before comparing treatment and control groups.
control event rate - treatment event rate
The difference in absolute risk between two groups.
risk in treatment group / risk in control group
Tells you how risk changes proportionally, not the absolute benefit.
1 / absolute risk reduction
Lower NNT means fewer patients need treatment for one to benefit.
1 / absolute risk increase
Higher NNH means harm is less frequent.
true positives / all with disease
Useful for ruling out when a sensitive test is negative.
true negatives / all without disease
Useful for ruling in when a specific test is positive.
true positives / all positive tests
Depends heavily on prevalence.
If you want the compact version, use the AKT statistics formulas guide for NNT, NNH, sensitivity, specificity, PPV and NPV.
The RCGP data interpretation examples are built around real GP problems: prescribing, referral data, risk communication and patient decisions. Do not only memorise equations.
For diagnostic test questions, write true positive, false positive, false negative and true negative in the same order every time before calculating sensitivity, specificity, PPV or NPV.
Statistics is easier when the language becomes familiar. AKT Navigator includes a statistics course and over 2 hours of statistics explainer videos in paid access.
The RCGP describes the AKT as 80% clinical knowledge, 10% evidence-based practice and critical appraisal, and 10% primary care organisation and management. The statistics and data interpretation material sits mainly in that evidence-based practice section.
You should be comfortable with absolute risk, relative risk, absolute risk reduction, absolute risk increase, NNT, NNH, sensitivity, specificity, PPV and NPV. You also need to interpret charts, confidence intervals, forest plots and practice-level data.
Build the 2x2 table first. PPV starts from the positive test results and asks how many are true positives. NPV starts from the negative test results and asks how many are true negatives. Remember that PPV and NPV change with prevalence.
Learn the small set of core formulas, then practise mixed interpretation questions rather than memorising formulas in isolation. Focus on 2x2 tables, absolute versus relative risk, NNT, confidence intervals and chart interpretation.
No. The RCGP data interpretation material includes graph reading, prescribing data, confidence intervals, PPV, absolute and relative risk, forest plots, patient risk communication, NNT and NNH. Recent feedback reports also highlight practice chart interpretation and study design terminology.
Source links are provided for exam structure and RCGP data interpretation examples. Last reviewed June 2026.
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