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 S Lane Biostatistics Slane@liverpool.ac.uk |
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Year | CATS Level | Semester | CATS Value |
Session 2016-17 | Level 6 FHEQ | Second Semester | 15 |
Aims |
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The aims of this module are to:
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Learning Outcomes |
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identify the types of problems encountered in medical statistics |
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demonstrate the advantages and disadvantages of different epidemiological study designs |
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apply appropriate statistical methods to problems arising in epidemiology and interpret results |
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explain and apply statistical techniques used in survival analysis |
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critically evaluate statistical issues in the design and analysis of clinical trials |
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discuss statistical issues related to systematic review and apply appropriate methods of meta-analysis |
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apply Bayesian methods to simple medical problems. |
Syllabus |
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1 |
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. Examples: Down‟s syndrome and congenital heart disease, prevalence of diabetes, the relationship between muscle strength and lean body mass, cigarette smoking and risk of lung cancer Survival analysis: parametric and semi-parametric survival functions, Kaplan-Meier survival curve, log-rank test, Cox proportional hazards regression analysis. Example: IUD usage, survival times of patients with tongue cancer and the role of different tumour types Clinical trials: parallel two gr oup design, randomisation, blinding, sample size, analysis, cross-over trials. Examples: Effectiveness of anti-depressants, Vit. D supplement for htpocalcaemia Systematic reviews and meta-analysis: introduction to systematic review, publication bias, funnel plot, test for heterogeneity. Example: comparison of aspirin against placebo for preventing death following myocardial infarction. Bayesian methods: introduction to Bayesian analysis in clinical trials. Example: comparison of neutron and photon therapy for pelvic cancer. |
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. Explanation of Reading List: |
Pre-requisites before taking this module (other modules and/or general educational/academic requirements): |
MATH263; MATH101; MATH102; MATH103; MATH162 |
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: |
Programme:G100 Year:3 Programme:G101 Year:3,4 Programme:G110 Year:3 Programme:G1R9 Year:4 Programme:G1X3 Year:3 Programme:GG13 Year:3 Programme:GN11 Year:3 Programme:GG14 Year:3 Programme:GL11 Year:3 Programme:GR11 Year:4 Programme:BCG0 Year:3 Programme:L000 Year:3 Programme:Y001 Year:3 Programme:MMAS Year:1 |
Assessment |
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EXAM | Duration | Timing (Semester) |
% of final mark |
Resit/resubmission opportunity |
Penalty for late submission |
Notes |
Unseen Written Exam | 2.5 hours | Second | 100 | No/yes | Standard UoL penalty applies | Written Exam Notes (applying to all assessments) Written exam answering 5 out of 7 unseen questions No resit for final year Maths undergraduate students failing module. They would need to retake module again the following year. Yes, resit opportunity for Maths PG students and SHS students in September. |
CONTINUOUS | Duration | Timing (Semester) |
% of final mark |
Resit/resubmission opportunity |
Penalty for late submission |
Notes |