Postgraduate Course: Further Statistics (PUHR11051)
Course Outline
| School | School of Molecular, Genetic and Population Health Sciences |
College | College of Medicine and Veterinary Medicine |
| Course type | Standard |
Availability | Available to all students |
| Credit level (Normal year taken) | SCQF Level 11 (Postgraduate) |
Credits | 10 |
| Home subject area | Public Health Research |
Other subject area | None |
| Course website |
None |
Taught in Gaelic? | No |
| Course description | is 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:
&· Further types of simple analysis, and more advanced methods (eg for more than 2 groups, using data transformations, repeated measurements).
&· Use of stratification to explore confounding and effect modification.
&· Sample size calculations. |
Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
|
Co-requisites | |
| Prohibited Combinations | |
Other requirements | None |
| Additional Costs | None |
Information for Visiting Students
| Pre-requisites | None |
| Displayed in Visiting Students Prospectus? | No |
Course Delivery Information
|
| Delivery period: 2014/15 Semester 2, Available to all students (SV1)
|
Learn enabled: Yes |
Quota: None |
|
Web Timetable |
Web Timetable |
| Course Start Date |
12/01/2015 |
| Breakdown of 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 )
|
| Additional Notes |
|
| Breakdown of Assessment Methods (Further Info) |
Written Exam
50 %,
Coursework
0 %,
Practical Exam
50 %
|
| Exam Information |
| Exam Diet |
Paper Name |
Hours & Minutes |
|
| Main Exam Diet S2 (April/May) | Further Statistics | 2:00 | |
Summary of Intended 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 |
Assessment Information
| Exam (50%) + Project (50%) |
Special Arrangements
| None |
Additional Information
| Academic description |
Not entered |
| Syllabus |
Not entered |
| Transferable skills |
Not entered |
| Reading list |
Not entered |
| Study Abroad |
Not entered |
| Study Pattern |
Not entered |
| Keywords | Statistics statistical methods SPSS t-test chi-squared test confidence interval stratification sampl |
Contacts
| Course organiser | Mrs Pam Warner
Tel: (0131 6)50 3248
Email: Pam.Warner@ed.ac.uk |
Course secretary | Mr Stuart Mallen
Tel: (0131 6)50 3227
Email: Stuart.Mallen@ed.ac.uk |
|
© Copyright 2014 The University of Edinburgh - 29 August 2014 4:41 am
|
University Homepage