ST332 Medical Statistics
ST33215 Medical Statistics
Introductory description
This module runs in Term 2 and is available for students on a course where it is a listed option and as an Unusual Option to students who have completed the prerequisite modules.
Prerequisite: ST346 Generalised linear models for Regression and Classification
Results from this module can be partly used to determine exemption eligibility in the Institute and Faculty of Actuaries (IFoA) modules CS1.
Module aims
Modern applications of statistics to medicine are highly developed, and many medical research papers employ statistical techniques. Large numbers of statisticians are employed in medical research establishments, particularly in pharmaceutical companies and medical schools. Medical statistics continues to be a buoyant area for statistical recruitment. The course will explain why and how statistics is used in medicine, and study some of the statistical methods commonly used in medical research. We will include examples from our own research. The statistical techniques applied to medical data are also relevant in other applications.
Outline syllabus
This is an indicative module outline only to give an indication of the sort of topics that may be covered. Actual sessions held may differ.
Study designs: cohort, casecontrol and survey designs; randomised clinical trials; adaptive clinical trial designs.
Analysis of censored survival data: Life tables; hazard and survival functions; KaplanMeier survival curves; parametric survival models, the proportional hazards regression model.
Systematic reviews and metaanalysis: Systematic reviews summarise evidence on particular medical topics; metaanalyses use statistical methods such as glms to summarise studies included in systematic reviews; publication bias and funnel plots; Cochrane reviews.
Learning outcomes
By the end of the module, students should be able to:
 appreciate the role of statistics in medical research
 understand some of the statistical principles of good practice in medical investigations
 understand how to use and interpret generalised linear models and survival analysis in medical data analysis
Indicative reading list
The books listed are suggestions. Some provide general background [1, 2, 3, 5, 11, 12, 16]; others are more focussed on statistical methodology [4, 6, 7, 8, 9, 10, 13, 14, 15]. In many cases, there will be other editions, which you can easily find through the library. I requested multiple copies of the most popular books; the essential material is in the older as well as newer editions. In addition, some ebooks are now available through the library.
[1] D.G. Altman. Practical Statistics for Medical Research. Chapman and Hall, London, 1991.
[2] P Armitage and G Berry. Statistical Methods in Medical Research. Blackwell, Oxford, 2 edition, 1987.
[3] M Bland. An introduction to medical statistics. Oxford University Press, Oxford, 2 edition, 1995.
[4] M Borenstein. Introduction to metaanalysis. John Wiley & Sons, Chichester, U.K., 2009.
[5] M J Campbell and D Machin. Medical statistics: a commonsense approach. Wiley, Chicester, 3 edition, 1999.
[6] D. Collett. Modelling binary data. Chapman & Hall, London, 1991. 0412387905.
[7] D. Collett. Modelling survival data in medical research. Chapman & Hall, London, 3 edition, 2014.
[8] D R Cox and D Oakes. Analysis of Survival Data. Chapman & Hall, London, 1984.
[9] D R Cox and E J Snell. Analysis of Binary data. Chapman & Hall, London, 2 edition, 1989.
[10] AJ Dobson and AG Barnett. An introduction to generalized linear models. CRC Press, Boca Raton, 2008. 3rd ed.
[11] JV Freeman, SJ Walters, and MJ Campbell. How to display data. Blackwell (BMJ books), Oxford, 2008.
[12] S M Gore and D G Altman. Statistics in Practice. British Medical Association, London, 1982.
[13] M.K.B Parmar and D Machin. Survival analysis: a practical approach. Wiley, Chichester, 1995. 0471936405.
14] G Schwarzer, JR Carpenter, and G RÃ¼cker. Metaanalysis with R. Springer, Cham, 2015.
[15] AJ Sutton, KR Abrams, DR Jones, RA Sheldon, and F Sung. Methods for metaanalysis in medical research. Wiley, Chichester, 2000.
[16] E R Tufte. The Visual display of quantitative information. Graphics Press, Cheshire,
1983.
View reading list on Talis Aspire
Research element
Sourcing and summarizing medical research articles.
Novel secondary analysis of data.
Defining research questions and evaluating appropriate study designs.
Interdisciplinary
Students are required to study medical research articles, learn some medical terms, and translate the results of statistical analyses into summaries suitable for medical professionals and for the general public.
International
Students will be expected to review medical articles published by nonUK research groups.
Subject specific skills
To understand the relevance of generalized linear models in analysis of medical data, and good practice in fitting and interpreting such models.
To understand the analysis of survival data from medical studies, and good practice in fitting and interpreting such models.
To appreciate the particular study the role of statistics in the design.
Transferable skills
Appreciation of the role of statistics in the design and analysis of studies addressing questions related to health and other aspects of society.
Competence in using descriptive statistics, generalized linear models and survival analysis to investigate and summarise data.
Study time
Type  Required  Optional 

Lectures  30 sessions of 1 hour (25%)  2 sessions of 1 hour 
Practical classes  5 sessions of 1 hour (4%)  
Private study  85 hours (71%)  
Total  120 hours 
Private study description
Weekly revision of lecture notes and materials, wider reading, practice exercises.
Costs
No further costs have been identified for this module.
You do not need to pass all assessment components to pass the module.
Students can register for this module without taking any assessment.
Assessment group D3
Weighting  Study time  

Group Project  10%  15 hours 
Due in Term 2 Week 6. 

Individual Project  10%  15 hours 
Due in Term 2 Week 10. 

Inperson Examination  80%  
The examination paper will contain four questions, of which the best marks of THREE questions will be used to calculate your grade.

Assessment group R1
Weighting  Study time  

Inperson Examination  Resit  100%  
The examination paper will contain four questions, of which the best marks of THREE questions will be used to calculate your grade. ~Platforms  Moodle 
Feedback on assessment
Marked assignments will be available for viewing at the support office within 20 working days of the submission deadline. Cohort level feedback and solutions will be provided, and students will be given the opportunity to receive feedback via facetoface meetings.
Solutions and cohort level feedback will be provided for the examination.
Prerequisites
Either ST218 and ST219 or ST220. Menu does not allow this.
ST346 is strongly recommended.
Courses
This module is Optional for:

UCSAG4G1 Undergraduate Discrete Mathematics
 Year 3 of G4G1 Discrete Mathematics
 Year 3 of G4G1 Discrete Mathematics
 Year 3 of UCSAG4G3 Undergraduate Discrete Mathematics
 Year 4 of UCSAG4G4 Undergraduate Discrete Mathematics (with Intercalated Year)
 Year 4 of UCSAG4G2 Undergraduate Discrete Mathematics with Intercalated Year

USTAG300 Undergraduate Master of Mathematics,Operational Research,Statistics and Economics
 Year 3 of G300 Mathematics, Operational Research, Statistics and Economics
 Year 4 of G300 Mathematics, Operational Research, Statistics and Economics
This module is Option list A for:

USTAG1G3 Undergraduate Mathematics and Statistics (BSc MMathStat)
 Year 3 of G1G3 Mathematics and Statistics (BSc MMathStat)
 Year 4 of G1G3 Mathematics and Statistics (BSc MMathStat)

USTAG1G4 Undergraduate Mathematics and Statistics (BSc MMathStat) (with Intercalated Year)
 Year 4 of G1G4 Mathematics and Statistics (BSc MMathStat) (with Intercalated Year)
 Year 5 of G1G4 Mathematics and Statistics (BSc MMathStat) (with Intercalated Year)

USTAGG14 Undergraduate Mathematics and Statistics (BSc)
 Year 3 of GG14 Mathematics and Statistics
 Year 3 of GG14 Mathematics and Statistics
 Year 4 of USTAGG17 Undergraduate Mathematics and Statistics (with Intercalated Year)

USTAY602 Undergraduate Mathematics,Operational Research,Statistics and Economics
 Year 3 of Y602 Mathematics,Operational Research,Stats,Economics
 Year 3 of Y602 Mathematics,Operational Research,Stats,Economics
 Year 4 of USTAY603 Undergraduate Mathematics,Operational Research,Statistics,Economics (with Intercalated Year)
This module is Option list B for:

UMAAG105 Undergraduate Master of Mathematics (with Intercalated Year)
 Year 4 of G105 Mathematics (MMath) with Intercalated Year
 Year 5 of G105 Mathematics (MMath) with Intercalated Year

UMAAG100 Undergraduate Mathematics (BSc)
 Year 3 of G100 Mathematics
 Year 3 of G100 Mathematics
 Year 3 of G100 Mathematics

UMAAG103 Undergraduate Mathematics (MMath)
 Year 3 of G100 Mathematics
 Year 3 of G103 Mathematics (MMath)
 Year 3 of G103 Mathematics (MMath)
 Year 4 of G103 Mathematics (MMath)
 Year 4 of G103 Mathematics (MMath)

UMAAG106 Undergraduate Mathematics (MMath) with Study in Europe
 Year 3 of G106 Mathematics (MMath) with Study in Europe
 Year 4 of G106 Mathematics (MMath) with Study in Europe
 Year 4 of UMAAG101 Undergraduate Mathematics with Intercalated Year
This module is Option list C for:

USTAG302 Undergraduate Data Science
 Year 3 of G302 Data Science
 Year 3 of G302 Data Science
 Year 3 of USTAG304 Undergraduate Data Science (MSci)
 Year 4 of USTAG303 Undergraduate Data Science (with Intercalated Year)
This module is Option list D for:

USTAG300 Undergraduate Master of Mathematics,Operational Research,Statistics and Economics
 Year 4 of G30C Master of Maths, Op.Res, Stats & Economics (Operational Research and Statistics Stream)
 Year 4 of G30C Master of Maths, Op.Res, Stats & Economics (Operational Research and Statistics Stream)
 Year 5 of USTAG301 Undergraduate Master of Mathematics,Operational Research,Statistics and Economics (with Intercalated
This module is Option list E for:
 Year 4 of USTAG300 Undergraduate Master of Mathematics,Operational Research,Statistics and Economics
 Year 5 of USTAG301 Undergraduate Master of Mathematics,Operational Research,Statistics and Economics (with Intercalated
This module is Option list F for:
 Year 3 of USTAG300 Undergraduate Master of Mathematics,Operational Research,Statistics and Economics

USTAG301 Undergraduate Master of Mathematics,Operational Research,Statistics and Economics (with Intercalated
 Year 3 of G30H Master of Maths, Op.Res, Stats & Economics (Statistics with Mathematics Stream)
 Year 4 of G30H Master of Maths, Op.Res, Stats & Economics (Statistics with Mathematics Stream)
Catalogue 
Resources 
Feedback and Evaluation 
Grade Distribution 
Timetable 
Assessments dates for Statistics modules, including coursework and examinations, can be found in the Statistics Assessment Handbook.