2017/18 Taught Postgraduate Module Catalogue
YCHI5045M Statistics for Health Sciences
15 creditsClass Size: 40
Module manager: David Wong
Email: d.c.wong@leeds.ac.uk
Taught: 01 Oct to 30 Nov View Timetable
Year running 2017/18
Pre-requisite qualifications
Identical to student's parent taught postgraduate programme or PhDPre-requisites
NONE |
Co-requisites
NONE |
This module is mutually exclusive with
NONE |
Module replaces
NoneThis 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 websiteLast updated: 19/12/2017
Browse Other Catalogues
- Undergraduate module catalogue
- Taught Postgraduate module catalogue
- Undergraduate programme catalogue
- Taught Postgraduate programme catalogue
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