Module Details |
The information contained in this module specification was correct at the time of publication but may be subject to change, either during the session because of unforeseen circumstances, or following review of the module at the end of the session. Queries about the module should be directed to the member of staff with responsibility for the module. |
Title | MEDICAL STATISTICS | ||
Code | MATH364 | ||
Coordinator |
Dr EJ Nixon Mathematical Sciences Emily.Nixon@liverpool.ac.uk |
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Year | CATS Level | Semester | CATS Value |
Session 2023-24 | Level 6 FHEQ | Second Semester | 15 |
Aims |
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The aims of this module are to: demonstrate the purpose of medical statistics and the role it plays in the control of disease and promotion of health explore different epidemiological concepts and study designs apply statistical methods learnt in other programmes, and some new concepts, to medical problems and practical epidemiological research enable further study of the theory of medical statistics by using this module as a base. |
Learning Outcomes |
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(LO1) Identify the types of problems encountered in medical statistics. |
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(LO2) Demonstrate the advantages and disadvantages of different epidemiological study designs. |
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(LO3) Apply appropriate statistical methods to problems arising in epidemiology and interpret results. |
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(LO4) Explain and apply statistical techniques used in survival analysis. |
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(LO5) Critically evaluate statistical issues in the design and analysis of clinical trials. |
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(LO6) Discuss statistical issues related to systematic review and apply appropriate methods of meta-analysis. |
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(LO7) Apply Bayesian methods to simple medical problems. |
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(S1) Problem solving skills |
Syllabus |
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Medical Statistics: definitions and examples. Introduction : Motivating application to epidemiology. Epidemiology : routine data, standardisation of illness rates, surveys, screening, cohort studies, case-control studies, causality, multiple linear and logistic regression. Survival analysis : parametric and semi-parametric survival functions, Kaplan-Meier survival curve, log-rank test, Cox proportional hazards regression analysis. Clinical trials : parallel two group design, randomisation, blinding, sample size, analysis, cross-over trials. Systematic reviews and meta-analysis : introduction to systematic review, publication bias, funnel plot, test for heterogeneity. Bayesian methods : introduction to Bayesian analysis in clinical trials. |
Recommended Texts |
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Reading lists are managed at readinglists.liverpool.ac.uk. Click here to access the reading lists for this module. |
Pre-requisites before taking this module (other modules and/or general educational/academic requirements): |
Co-requisite modules: |
Modules for which this module is a pre-requisite: |
Programme(s) (including Year of Study) to which this module is available on a required basis: |
Programme(s) (including Year of Study) to which this module is available on an optional basis: |
Assessment |
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EXAM | Duration | Timing (Semester) |
% of final mark |
Resit/resubmission opportunity |
Penalty for late submission |
Notes |
Final Assessment | 120 | 70 | ||||
CONTINUOUS | Duration | Timing (Semester) |
% of final mark |
Resit/resubmission opportunity |
Penalty for late submission |
Notes |
Homework 1 | 0 | 15 | ||||
Homework 2 | 0 | 15 |