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# Introduction to Regression Analysis - HEA00001M

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• Department: Health Sciences
• Module co-ordinator: Prof. Mona Kanaan
• Credit value: 10 credits
• Credit level: M
• Academic year of delivery: 2022-23
• See module specification for other years: 2021-22

• None

• None

## 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

## Assessment

Task Length % of module mark
Coursework - extensions not feasible/practicable
Quizzes
N/A 10
Essay/coursework
Report
N/A 90

None

### Reassessment

Task Length % of module mark
Essay/coursework
Report
N/A 90

## Module feedback

Written feedback for summative assessment is provided on the standard proforma, within the timescale specified in the programme handbook.

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