# DEGREE REGULATIONS & PROGRAMMES OF STUDY 2023/2024

### Timetable information in the Course Catalogue may be subject to change.

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# Postgraduate Course: Further Statistics (PUHR11051)

 School Deanery of Molecular, Genetic and Population Health Sciences College College of Medicine and Veterinary Medicine Credit level (Normal year taken) SCQF Level 11 (Postgraduate) Availability Available to all students SCQF Credits 10 ECTS Credits 5 Summary This 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
 Pre-requisites Co-requisites Prohibited Combinations Other requirements None
 Pre-requisites None High Demand Course? Yes
 Not being delivered
 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
 None
 Course URL https://www.ed.ac.uk/molecular-genetic-population/mph/on-campus Graduate Attributes and Skills Not entered Keywords Statistics statistical methods SPSS t-test chi-squared test confidence interval stratification sampl
 Course organiser Dr Pam Warner Tel: (0131 6)50 3248 Email: Pam.Warner@ed.ac.uk Course secretary Ms Charlotte Munden Tel: (0131 6)51 318 Email: cmunden2@ed.ac.uk
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