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DEGREE REGULATIONS & PROGRAMMES OF STUDY 2024/2025

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DRPS : Course Catalogue : School of Mathematics : Mathematics

Postgraduate Course: Biostatistics (MATH11230)

Course Outline
SchoolSchool of Mathematics CollegeCollege of Science and Engineering
Credit level (Normal year taken)SCQF Level 11 (Postgraduate) AvailabilityNot available to visiting students
SCQF Credits10 ECTS Credits5
SummaryThis course will introduce statistical concepts and techniques commonly used in biomedical and epidemiological applications.The course is primarily intended to MSc students in Statistics with Data Science and Statistics and Operational Research but it is also available to fourth and fifth year undergraduate students enrolled in the degree programmes offered by the School of Mathematics.
Course description In this course we will study a variety of concepts and techniques used in biomedical and epidemiological research. The R statistical software will be extensively used. Topics to be covered may include:
1)Measures of disease occurrence and of disease-exposure association
2)Study designs
3)Estimation and inference for measures of association
4)Causal inference, confounding, and interaction
5)Unconditional and conditional logistic regression
6)Analysis of survival data
7)Diagnostic testing
Entry Requirements (not applicable to Visiting Students)
Pre-requisites Students MUST have passed: Statistical Methodology (MATH10095) AND Statistical Computing (MATH10093)
Co-requisites
Prohibited Combinations Students MUST NOT also be taking The Analysis of Survival Data (MATH11024) AND
Other requirements Note that PGT students on School of Mathematics MSc programmes are not required to have taken pre-requisite courses, but they are advised to check that they have studied the material covered in the syllabus of each pre-requisite course before enrolling.
Course Delivery Information
Academic year 2024/25, Not available to visiting students (SS1) Quota:  None
Course Start Semester 2
Timetable Timetable
Learning and Teaching activities (Further Info) Total Hours: 100 ( Lecture Hours 22, Seminar/Tutorial Hours 5, Summative Assessment Hours 2, Programme Level Learning and Teaching Hours 2, Directed Learning and Independent Learning Hours 69 )
Assessment (Further Info) Written Exam 80 %, Coursework 20 %, Practical Exam 0 %
Additional Information (Assessment) Coursework: 20%, Examination: 80%.
Feedback Not entered
Exam Information
Exam Diet Paper Name Hours & Minutes
Main Exam Diet S2 (April/May)Biostatistics (MATH11230)2:120
Learning Outcomes
On completion of this course, the student will be able to:
  1. Recognise the role of statistics in biomedical and epidemiological research, understand different ways to measure health outcomes and suggest appropriate study designs.
  2. Be able to implement and interpret results from statistical techniques used in biomedical and epidemiological studies.
  3. Be able to use the R statistical software to analyse data derived from biomedical and epidemiological studies.
Reading List
Jewell, N. P. (2003). Statistics for Epidemiology. CRC Press.
Woodward, M. (2014). Epidemiology: Study Design and Data Analysis. 3rdedition, CRC Press.
Collet, D. (2015).Modelling Survival Data in Medical Research. 3rd edition, CRC Press.
Additional Information
Graduate Attributes and Skills Not entered
KeywordsBioStat,Biomedical Statistics,Epidemiology
Contacts
Course organiserDr Bruce Worton
Tel: (0131 6)50 4884
Email: Bruce.Worton@ed.ac.uk
Course secretaryMiss Kirstie Paterson
Tel:
Email: Kirstie.Paterson@ed.ac.uk
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