Study information

# Statistics as Applied To Health

Module title Statistics as Applied To Health HPDM054Z 2023/4 15 Dr Fiona Warren (Lecturer)
 Duration: Term Duration: Weeks 1 2 3 5
 Number students taking module (anticipated) 16

## Module description

This module provides an introduction to statistical concepts and methods relevant to health research. You will develop your understanding of these concepts/methods enabling you to interpret the statistical aspects of research studies and published papers.

## Module aims - intentions of the module

You will learn to recognise the most commonly encountered types of data in health research and learn which statistical methods are appropriate to summarise such data and make statistical inferences. You will be able to interpret the findings of published research and critically appraise the choice of statistical methods in those papers. You will understand the concepts relevant to the pooling of study findings across research papers and understand the factors that need to be taken into consideration when calculating the number of participants required in a research study.

## Intended Learning Outcomes (ILOs)

### ILO: Module-specific skills

On successfully completing the module you will be able to...

• 1. Demonstrate a critical awareness of how descriptive statistics and inferential statistics are applied in health research, and understand how to interpret the results of statistical analyses in the context of health research.
• 2. Understand the differences between meta-analysis methods, and understand what information is required to inform a sample size calculation.

### ILO: Discipline-specific skills

On successfully completing the module you will be able to...

• 3. Critically appraise the difference between descriptive statistics and inferential statistics.
• 4. Critically examine methods to summarise different types of data using numbers and graphs (descriptive statistics), and demonstrate a critical awareness of the two main modes of statistical inference: estimation (confidence intervals) and hypothesis testing (p-values).

### ILO: Personal and key skills

On successfully completing the module you will be able to...

• 5. Critically interpret findings of statistical analyses reported in research papers.
• 6. Critically appraise the choice of statistical methods and their application in research.

## Syllabus plan

Whilst the module’s precise content may vary from year to year, an example of an overall structure is as follows:

Types of variable/levels of measurement; summarising data; probability; Normal distribution; confidence intervals; hypothesis testing and p-values; t-test; analysis of variance; non-parametric tests; measures of effect for binary outcomes (risk difference, odds ratio, relative risk); chi-squared test and Fisher’s exact test; correlation; linear regression; logistic regression; meta-analysis; sample size calculation.

## Learning activities and teaching methods (given in hours of study time)

Scheduled Learning and Teaching ActivitiesGuided independent studyPlacement / study abroad
361140

## Details of learning activities and teaching methods

CategoryHours of study timeDescription
Scheduled learning & teaching activities36Lectures (online e.g. using MS Teams), short online video presentations on ELE, seminars (online e.g. using MS Teams), practical exercises (online e.g. using MS Teams or via ELE), group discussion using ELE forum.
Guided independent study70Web-based learning, resource gathering, and in-depth reading during the period of module delivery.
Guided independent study44Preparation for and completion of assessment.

## Formative assessment

Form of assessmentSize of the assessment (eg length / duration)ILOs assessedFeedback method
Practical exercisesThroughout1-6Verbal
Written exam1 hour1,3-4Exam mark, specimen answers

## Summative assessment (% of credit)

CourseworkWritten examsPractical exams
10000

## Details of summative assessment

Form of assessment% of creditSize of the assessment (eg length / duration)ILOs assessedFeedback method
Coursework assessment: critical evaluation of statistical aspects of two published papers1002500 words1,2,5-6Written
0
0
0
0
0

## Details of re-assessment (where required by referral or deferral)

Original form of assessmentForm of re-assessmentILOs re-assessedTimescale for re-assessment
Coursework assessment: critical evaluation of statistical aspects of two published papers (100%)Coursework assessment (2500 words)1,2,5-6Typically within six weeks of the result

## Indicative learning resources - Basic reading

Recommended textbooks:

1. Betty R. Kirkwood & Jonathan A. C. Sterne. Essential Medical Statistics. Blackwell.

2. Janet L. Peacock, Sally M. Kerry, and Raymond R. Balise, Presenting Medical Statistics from Proposal to Publication (2 ed.). Oxford University Press.

A full list of recommended resources will be available of the University of Exeter’s electronic learning environment (ELE, http://as.exeter.ac.uk/it/systems/ele/)

## Indicative learning resources - Web based and electronic resources

### Key words search

Statistics, health statistics

Credit value 15 7.5 None None 7 Yes 23/02/2022