Medical Statistics (G1120)

in detail...

Key facts

Details for course being taught in current academic year
Level 3  -  15 credits  -  spring term

E-learning links

Study Direct: G1120 (09/10)

Resources

Timetable Link
Course website



Course description

Course outline

Logistic regression, fitting and interpretation. Survival times; Kaplan-Meier estimate, log-rank test, Cox proportional hazard model. Designing medical research. Clinical trials; phases I-IV, randomised double-blind controlled trial, ethical issues, sample size, early stopping. Observational studies: prospective/retrospective, longitudinal/cross-sectional. Analysis of categorical data; relative risk, odds ratio; McNemar’s test, meta-analysis (Mantel-Haenszel method). Diagnostic tests; sensitivity and specificity; receiver operating characteristic. Standardised mortality rates.

Pre-requisite

Linear Statistical Models, or equivalent.

Learning outcomes

At the end of the course successful students should be able to
* describe and distinguish between various types of study design;
* analyse multivariate data with a binary outcome (e.g., cure/no cure)
using the logistic regression model;
* analyse censored survival data using the proportional hazards model;
* use adaptations of previously introduced statistical methods of
particular relevance in analysing medical data;
* understand epidemiological methods;
* understand the procedures involved in designing and carrying out a
clinical trial;
* use the SAS package to carry out many of the above analyses.

Library

The main reference is: ‘Epidemiology’, M Woodward, 1999, Chapman & Hall.
Other relevant titles: (i) ‘Modelling Survival Data in Medical Research’, D Collett, 1994, Chapman & Hall
(ii) ‘Modelling Binary Data’, D Collett, 1991, Chapman & Hall;
(iii) ‘Practical Statistics for Medical Research’, D G Altman, 1991, Chapman & Hall
(iv) ‘Introduction to Randomised Controlled Clinical Trials’, J N S Matthews, 2000, Arnold.



Assessments

View old exam papers

Type Timing Weighting
Coursework20.00%
Practical ReportSpring Week 7equal weighting
Review PaperSpring Week 10equal weighting
Unseen ExaminationSummer Term  (2 hours)80.00%

Resit mode of assessment

Type Timing Weighting
Unseen Examination   (2 hours )100.00%

Timing

Submission deadlines may vary for different types of assignment/groups of students.

Weighting

Coursework components (if listed) total 100% of the overall coursework weighting value.



Teaching methods

Term Method Duration Week pattern
Spring Term LECTURE 1 hour 0101010111
Spring Term LECTURE 1 hour 2222222222
Spring Term PRACTICAL 1 hour 1010101000

How to read the week pattern

The numbers indicate the weeks of the term and how many events take place each week.



Contact details

Dr Derek Robinson

Assess convenor
http://www.sussex.ac.uk/maths/profile2276.html



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