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DEGREE REGULATIONS & PROGRAMMES OF STUDY 2018/2019

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DRPS : Course Catalogue : Deanery of Molecular, Genetic and Population Health Sciences : Public Health Research

Postgraduate Course: Further Statistics (PUHR11051)

Course Outline
SchoolDeanery of Molecular, Genetic and Population Health Sciences CollegeCollege of Medicine and Veterinary Medicine
Credit level (Normal year taken)SCQF Level 11 (Postgraduate) AvailabilityAvailable to all students
SCQF Credits10 ECTS Credits5
SummaryThis course is designed to consolidate understanding of the key statistical concepts introduced in the core Introduction to Statistics (ItS) course, and build on these, extending knowledge and skills to:
1) Further types of simple analysis, and more advanced methods (eg for more than 2 groups, using data transformations, repeated measurements).
2) Use of stratification to explore confounding and effect modification.
3) Sample size calculations.
Course description Not entered
Entry Requirements (not applicable to Visiting Students)
Pre-requisites Co-requisites
Prohibited Combinations Other requirements None
Information for Visiting Students
Pre-requisitesNone
High Demand Course? Yes
Course Delivery Information
Academic year 2018/19, Available to all students (SV1) Quota:  45
Course Start Semester 2
Course Start Date 14/01/2019
Timetable Timetable
Learning and Teaching activities (Further Info) Total Hours: 100 ( Lecture Hours 20, Programme Level Learning and Teaching Hours 2, Directed Learning and Independent Learning Hours 78 )
Assessment (Further Info) Written Exam 100 %, Coursework 0 %, Practical Exam 0 %
Additional Information (Assessment) Exam (100%)
Feedback Not entered
Exam Information
Exam Diet Paper Name Hours & Minutes
Main Exam Diet S2 (April/May)Further Statistics2:00
Learning Outcomes
By the end of the course students will be able to:
Select and apply a data transformation/method of analysis appropriate to each of a variety of analytical objectives and data distributions/structures
Use both a calculator and the software package SPSS to perform a broad range of statistical analyses, and be able to interpret these appropriately
Understand the issues in sample size estimation and undertake simple sample size calculations
Understand the rationale for stratification and deploy this technique to explore confounding and effect modification
Interpret appropriately the results of statistical analyses undertaken
New topics to be covered (additional to ItS):
Sample size estimation for simple studies
Analysis of variance (including for repeated measures data)
Non-parametric/ distribution-free methods, including non-par correlation
Confidence limits for median and difference of two medians
Assessment of measurement quality/agreement between a pair of variables by the methods of McNemar, kappa and Bland-Altman.
Chi-squared test for association in larger two-way tables, including trend test and paired proportion data
Stratification, including brief introduction to: Mantel-H adjusted OR for association in 2x2 tables stratified by a third variable (and chi-squared test)
Introduction (only) to logistic regression as alternative for trend test and MH adjusted OR
Reading List
None
Additional Information
Graduate Attributes and Skills Not entered
KeywordsStatistics statistical methods SPSS t-test chi-squared test confidence interval stratification sampl
Contacts
Course organiserDr Pam Warner
Tel: (0131 6)50 3248
Email: Pam.Warner@ed.ac.uk
Course secretaryMr Stuart Mallen
Tel: (0131 6)50 3227
Email: Stuart.Mallen@ed.ac.uk
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