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Description
This comprehensive webinar covers 45 AKT-style statistics questions with worked examples of key calculations and techniques for interpreting data. Designed to build confidence in tackling complex data-related questions, it addresses essential statistical concepts and methods frequently tested in the exam. Topics include: Core statistics (e.g., incidence, prevalence, mean, mode, median, standard deviation) Advanced statistical measures (e.g., p-value, confidence intervals, sensitivity & specificity, risk ratios, NNT/NNH) Data interpretation techniques (e.g., Kaplan-Meier plots, forest plots, box plots, and scatter plots) Study design and analysis (e.g., cohort studies, RCTs, meta-analysis, bias, confounding) Statistical tests (e.g., t-tests, chi-square, ANOVA, Mann-Whitney U) Key epidemiological concepts (e.g., null hypothesis, types of error, blinding, reliability/validity) By the end of this session, you’ll be equipped to confidently analyze and interpret statistical data, understand complex graphs, and apply evidence-based reasoning to clinical scenarios – all key skills for the AKT exam.