Introduction to Regression Analysis - HEA00093M
- Department: Health Sciences
- Credit value: 10 credits
- Credit level: M
- Academic year of delivery: 2022-23
Related modules
Module will run
| Occurrence | Teaching period |
|---|---|
| B | Spring Term 2022-23 |
Module aims
To provide understanding and skills in using linear and logistic regression and non-parametric statistics. To be able to define commonly used terms in regression analysis and non-parametric statistics. To evaluate the use of statistical analysis in published research.
Module learning outcomes
Knowledge and understanding of the subject area:
- Demonstrate understanding of the principles underlying inferential statistics with an emphasis on linear and logistic regression and non-parametric statistics.
Cognitive and intellectual skills:
- Critically appraise results of research.
- Interpret the results of research.
Subject-specific skills:
- Be able to describe data and carry out linear and logistic regression and non-parametric statistics.
- Be able to critically appraise reports of research which have used a range of methods including linear and logistic regression.
Key transferable skills:
- Be able to use SPSS for analysing data.
Module content
The module assumes basic knowledge of descriptive statistics and basic inferential statistics.
Module content:
Estimation
- Standard error and confidence intervals
Linear Regression Analysis
- Introduction to Simple Linear regression
- Introduction to Multiple Linear regression
- Analysis of Variance and Linear regression
Logistic Regression Analysis
- Revisit binary outcomes: OR, RR, Risk difference
- Introduction to Logistic regression
Further topics:
- Introduction to Non-parametric tests
- Sample Size Issues
- Writing a statistical report
Indicative assessment
| Task | % of module mark |
|---|---|
| Coursework - extensions not feasible/practicable | 10 |
| Essay/coursework | 90 |
Special assessment rules
Non-compensatable
Indicative reassessment
| Task | % of module mark |
|---|---|
| Essay/coursework | 90 |
Module feedback
Written feedback for summative assessment is provided on the standard proforma, within the timescale specified in the programme handbook.
Indicative reading
Recommended text for students
- Altman DG. Practical statistics for medical research. London: Chapman and Hall, 1995.
- Bland M. An introduction to medical statistics; Oxford: Oxford University Press
- Cumming, Geoff . Understanding the new statistics: effect sizes, confidence intervals, and meta-analysis. New York ; London : Routledge
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Other recommended reading
- Field, A. Discovering statistics using SPSS for Windows. Sage.
- Norman, Geoffrey R. Biostatistics: the bare essentials. Shelton, Conn : People’s Medical Pub. House
- Peacock, Janet . Presenting medical statistics from proposal to publication: a step-by-step guide. Oxford : Oxford University Press