Postgraduate Course: Medical Statistics - Uses and Abuses Part 2 (HEIN11029)
Course Outline
| School | Deanery of Clinical Sciences |
College | College of Medicine and Veterinary Medicine |
| Credit level (Normal year taken) | SCQF Level 11 (Postgraduate) |
Availability | Not available to visiting students |
| SCQF Credits | 10 |
ECTS Credits | 5 |
| Summary | This course aims to equip students with knowledge of advanced quantitative methods (statistics) used in medical research, and develop a critical awareness of their use by themselves and others. Skills will be developed to enable students to use such techniques appropriately in their own research.
The course will consider; Power, effect size, and confidence intervals. The general linear model and ANOVA. ANCOVA. Latent variable methods: exploratory and confirmatory factor analysis. Factor rotation, path and structural models (sem). Multilevel modelling. Meta-analysis: measures of effect size, the combination of effect sizes and the File drawer problem. Survival analysis: Life tables, Kaplan-Meier survival curves, Logrank test, hazard ratio, Cox proportional hazard analysis. Re-samplying techniques. Bayesian approaches.
All topics with be considered within the context of the published research literature and statistical validity. Both knowledge and skills will be assessed, by critiquing an appropriate article and analysing a dataset.
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| Course description |
Not entered
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Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
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Co-requisites | |
| Prohibited Combinations | |
Other requirements | None |
Course Delivery Information
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| Academic year 2015/16, Not available to visiting students (SS1)
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Quota: None |
| Course Start |
Semester 2 |
| Course Start Date |
11/01/2016 |
Timetable |
Timetable |
| Learning and Teaching activities (Further Info) |
Total Hours:
100
(
Online Activities 35,
Summative Assessment Hours 40,
Directed Learning and Independent Learning Hours
25 )
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| Assessment (Further Info) |
Written Exam
0 %,
Coursework
100 %,
Practical Exam
0 %
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| Additional Information (Assessment) |
Course assessments are aligned with the learning outcomes. Summative work will be approximately 3000 words in total and be approved by the Board of Examiners on the recommendation of the Course Leader. Combined with formative assessments, it may incorporate one or more of the following:
&· Essay style analysis or commentary
&· Scenario analysis
&· Critical/Significant incident analysis
&· Reflective practice accounts
&· Individual presentations
&· Multiple Choice Questions
&· Other relevant assessments
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| Feedback |
Not entered |
| No Exam Information |
Learning Outcomes
a. Judge the appropriateness of a range of advanced statistical techniques to diverse research questions
b. Apply a range of advance statistical techniques
c. Report results using agreed conventions
d. Interpret results and communicate conclusions with due regard to the level of expertise of the target audience
e. Appraise the assumptions underlying different statistical techniques and critically evaluate the regard given to them in the published literature
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Additional Information
| Graduate Attributes and Skills |
Not entered |
| Keywords | Medical Statistics |
Contacts
| Course organiser | Dr Claudia Pagliari
Tel: (0131 6)50 9464
Email: Claudia.Pagliari@ed.ac.uk |
Course secretary | Mrs Andrea Scott
Tel: 0131 242 6355
Email: andrea.scott@ed.ac.uk |
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