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This module provides an introduction in applied statistics and statistical computing, using STATA, for public health.Ìý

It will provide you with a grounding in key concepts, namely types of variables, fundamental components of statistics (e.g. confidence intervals and effect sizes), statistical methods for continuous and categorical variables (e.g. t-test, ANOVA, chi-square test), linear regression and logistic regression, and meta-analysis. You will also learn about sample size calculations and how to handle violations of statistical assumptions.Ìý

Your online pre-recorded lectures will be complemented by computer practical sessions so that you can consolidate your knowledge and apply it in a variety of contexts relevant to public health. Ìý

Teaching and practical examples will include context-specific public health problems.  You will also learn to interpret and present statistics for non-technical audiences, such as policymakers and the public.ÌýÌý

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The aim of the module is to introduce students to key statistical concepts and their application and interpretation in public health research and practice. This module will give students a grounding in one of the core disciplines of public health which will underpin learning through the MPH programme. Students should be confident at the end of this module in using STATA for common statistical analyses.Ìý