PBH3011 · Biostatistics for health

Overview

This unit will help you build upon earlier coursework units in data, critical thinking, epidemiology, introductory biostatistics and research methods. You will focus on a unified framework of statistical modelling used in a variety of health science research and practical applications, including analysis of data from questionnaires, randomised and non-randomised comparative studies, as well as purely observational data. You will link between clearly defined research questions to be investigated and the formulation and execution of appropriate statistical procedures, together with their interpretations in scientific lay language. Statistical methods you will cover are: correlation and linear regression analysis, logistic regression analysis and cox regression for survival analysis. The lectures you will attend are supplemented with weekly case studies, discussed during tutorials/computer labs, and drawn from a variety of areas of epidemiology, public and global health.

Areas of study: Health science Public health

Offerings

Assessment

The Handbook lists an examination for this unit.

Assessment in this unit includes hurdle assessment tasks. Failure of any hurdle assessment task may result in failure of the unit.

Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.

Requisites

Learning outcomes

1. Explain the benefits of statistical modelling to answer research questions in the health sciences
2. Recognise an appropriate statistical method to suit a particular substantive problem
3. Formulate and communicate a statistical analysis plan
4. Use statistical modelling procedures appropriate for survey, experimental, and observational data using the SPSS software
5. Interpret and present the results of statistical analyses in written and oral form
6. Critically appraise the use of statistical methodology in the health sciences literature

Workload

6 hours of teacher directed study per week, this includes 3 hours of workshop and 3 hours of directed online student learning activities. 6 hours per week of self-directed study. Total per week = 12 hours.

Student experience, not official rules. Nothing here changes what the Handbook says.