2016/17 Taught Postgraduate Module Catalogue

YCHI5045M Statistics for Health Sciences

15 creditsClass Size: 40

Module manager: Jenny Freeman
Email: j.freeman@leeds.ac.uk

Taught: Semester 1 (Sep to Jan) View Timetable

Year running 2016/17

Pre-requisite qualifications

Identical to student's parent taught postgraduate programme or PhD

Pre-requisites

NONE

Co-requisites

NONE

This module is mutually exclusive with

NONE

Module replaces

None

This module is not approved as an Elective

Module summary

The module provides an introduction to estimation and statistical hypothesis testing in the health sciences. It will enable students to understand basic statistical concepts that are key to undertaking and appraising research such as confidence intervals and p-values. Students will learn about study design and how to undertake a preliminary statistical analysis as well as developing an understanding of the more advance method of regression The module will equip students with the knowledge and skills necessary to undertake an analysis of a dataset, and critically appraise statistics in the research literature.

Objectives

The purpose of the module is to:
- Introduce students to the fundamental statistical concepts and methods used in the health sciences
- Enable students to be able to apply these to critically appraise the literature

Learning outcomes
By the end of the module students will be able to:
- Classify, summarise and display data
- Demonstrate an understanding of and be able to explain the difference between statistical and clinical significance
- Synthesise knowledge across a range of key statistical domains so as to be able to know when they are appropriate and useful to apply
- Devise a strategy for analysing a statistical dataset, undertake the analysis and present the results coherently, including correctly interpret the p-value
- Critically appraise the statistical findings in published research

Skills outcomes
Statistical analysis skills, critical evaluation of the use of statistics in medical research

Syllabus

- What are data? Basic data summary using statistics and charts
- Study design and evidence
- Sampling and estimation from a sample, including an understanding of precision and confidence intervals
- Basic probability distributions
- Statistical hypothesis testing
- Risk and summary measures for binary data
- Analysing continuous outcomes
- Analysing categorical outcomes
- Correlation and linear regression
- Displaying results in tables and figures
- Critical appraisal of statistical evidence

Teaching methods

Delivery type	Number	Length hours	Student hours
Class tests, exams and assessment	4	1.00	4.00
Group learning	1	8.00	8.00
Lecture	10	1.00	10.00
Practical	2	4.00	8.00
Tutorial	10	1.00	10.00
Private study hours			110.00
Total Contact hours			40.00
Total hours (100hr per 10 credits)			150.00

Private study

Module pre-reading and directed exercises (12 hours)
- Basic mathematics refresher
- Background reading for group exercise
During contact week (12 hours)
- Directed reading and exercises
- Formative quizzes to consolidate learning
After contact week (86 hours)
- Summative assessment

Opportunities for Formative Feedback

Group feedback on directed exercises during the contact week (written)
Seminar discussions and short exercises (group feedback, verbal)
A formative peer and tutor assessed group poster presentation on the final day of the contact week, with immediate feedback (individual feedback, verbal)
A formative assignment (critical appraisal of a piece of published work) to be completed following the contact week, with individual written feedback before summative coursework due

Methods of assessment

Coursework

Assessment type	Notes	% of formal assessment
Report	Written report on the analysis of a given set of data (3,000 words)	100.00
Poster Presentation	Formative group poster presentation	0.00
In-course MCQ	Formative quizzes during the contact week with immediate feedback	0.00
Critique	Formative critical appraisal of published paper	0.00
Total percentage (Assessment Coursework)		100.00

Normally resits will be assessed by the same methodology as the first attempt, unless otherwise stated

Reading list

The reading list is available from the Library website

Last updated: 22/03/2016

Disclaimer

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