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 and non-parametric testing, as well as 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:


	Describe the role of statistical methods in epidemiological and public health research;
	
	
	Present results effectively by making appropriate displays, summaries, and tables of data;
	
	
	Understand the problem of sampling variation, and the role of statistical methods in quantifying this;
	
	
	Select an appropriate statistical method for the analysis of simple data sets;
	
	
	Correctly interpret the results of statistical analyses reported in the health literature;
	
	
	Perform simple statistical analyses using STATA, and
	
	
	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. It is compulsory for all students in MSc/Diploma Social Epidemiology; MSc/Diploma Dental Public Health; MSc/Diploma in Population Health, MSc Genetics of Human Disease and MSc in Health Data Science. The module may also be attended by other postgraduate students from Faculty of Population Health and other faculties as optional/elective module. Spaces are limited to 210.

There are several sessions with slightly different outlines; however, generally, you will attend 60-minute lectures followed by 90-minute computer-based practical sessions using the statistical package STATA to develop applied data analysis skills.

Selected Reading List


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