HAR6045: Further Statistics for Health Science Researchers


Introduction

The module will cover fundamental statistical concepts, and both simple statistical methods and the more widely used advanced methods of multiple regression, survival analysis and generalised linear models. It will be a practical module, including the teaching of the statistical software SPSS.  The module equips students with the knowledge and skills necessary to design and analyse a study to answer specific research questions, understand and critically appraise the literature, and to present research findings in a suitable fashion.

It is necessary to complete HAR6035, HAR6039 or HAR6042 successfully before progressing to study on this module.

Objectives

This unit aims to:

  • introduce students to fundamental concepts and modern analysis methods in statistics used by health science researchers;
  • enable students to apply these concepts to critically appraise research literature;
  • equip students with the knowledge and skills necessary to appropriately analyse a study using SPSS; and to present research findings in a suitable fashion.

Learning outcomes

By the end of the unit, a student will be able to:

  • Classify and appropriately display and summarise different types of data.
  • Describe and test statistical hypotheses in an appropriate manner.
  • Analyse data appropriate to the particular study design.
  • Understand parametric and non-parametric tests and when they should be used.
  • Understand how to use multiple linear regression.
  • Understand how to use logistic regression and other generalised linear models.
  • Understand how to use survival analysis.
  • Use SPSS to perform all of the above analyses and to manage data.
  • Evaluate the quality of published research from recent papers.

Teaching Methods

Lectures will be used to impart knowledge of key statistical concepts and methods, while structured exercise classes will apply these concepts to example data or published studies.

Assessment

Component Weighting
Report (2,000 words) 100%

Structured exercises throughout the teaching block will address materials introduced in the lectures. This will allow assessment of knowledge and application of basic concepts.

Students will plan and undertake an analysis of a quantitative dataset using statistical software. They will complete a 2,000 word project report on their analysis. This will assess their understanding of basic concepts; their understanding of the research process; their ability to plan and undertake a specific piece of work; and their ability to interpret and present the resultant information.

The pass mark is 50%.