Aims and Fit of Module

The aim of this module is to provide students with a basic introduction to statistical reasoning in health science. Students will gain fundamental statistical skills that are used in investigations of a range of issues relevant to the health of populations. The module will cover methods of summarizing data, the process of statistical inference and the use of estimation techniques.

Learning outcomes

A. Discuss the importance of data in health science, including the importance of proper data collection, analysis and interpretation

B. Identify the nature of statistical inference as applied to health science

C        Outline estimation and testing methods in the analysis of univariate and bivariate relationships

D       Interpret the results of data analysis correctly and effectively with minimal reliance on statistical jargon. 

E       Describe how to use statistical software to summarize data numerically and visually to perform data analysis.

Method of teaching and learning

The module will be taught in a blended style. That is to say, students will be expected to access and digest learning materials – lectures and readings – prior to in-class sessions. Classroom sessions will take place in a laboratory setting where the focus will be in the application of the learned material in the form of group activities and guided exercises. Each session will end with a summative assessment task.