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This module aims to introduce the basic statistical methods commonly used in biomedical, epidemiological, and public health research, and to learn to make practical use of the statistical computer package STATA. More specifically, you will learn how to use statistical methods for analysis of categorical and continuous outcomes, including calculation of risk ratio, odds ratio, chi square, t-test, and ANOVA. Additionally, you will be introduced to sampling, sample size and power calculations, as well as the basics of survey design and survey analysis. You will then be introduced to dealing with confounders and effect modifiers by using classical and regression analysis.

After taking this module you should be able to:

1. Describe the role of statistical methods in epidemiological and public health research;
2. Present results effectively by making appropriate displays, summaries, and tables of data;
3. Understand the problem of sampling variation, and the role of statistical methods in quantifying this;
4. Select an appropriate statistical method for the analysis of simple data sets;
5. Correctly interpret the results of statistical analyses reported in the health literature;
6. Perform simple statistical analyses using STATA, and
7. Interpret their findings from statistical analyses and present these findings in a clear, concise, and logical manner.

The module does not assume any previous knowledge of statistics.

Selected Reading List:

• Kirkwood B & Sterne J. Essential Medical Statistics, Blackwell Science (UK), 2016. ISBN 9788126563760