1 Wellington Square
OX1 2JA. Map
|Dates||Mon 13 to Fri 17 Apr 2015|
|Application status||Applications being accepted|
|Course contact||If you have any questions about this course, please email email@example.com or telephone +44 (0) 1865 286943.|
Learning about logistic regression, Cox regression, meta-analysis and more
This module is designed for health care professionals or graduate students who already have some research experience and an understanding of basic statistical principles, and who wish to develop their statistical expertise. Teaching is interactive and will emphasise the practical application of statistical methods to real-life problems, rather than statistical theory. Students will be able to explore and analyse data using a variety statistical packages.
The last date for receipt of complete applications is 5pm Friday 27th March 2015. Regrettably, late applications cannot be accepted.
This module will cover:
- Hypothesis tests
- Association between variables
- Pearson, Spearman and Kappa correlation coefficients
- Bland and Altman method of assessing agreement
- Linear regression
- Multiple linear regression (including relation to ANOVA*)
- Multiple logistic regression
- Uses of multiple logistic regression
- Building models
- Survival analysis
- Non parametric methods
- Life tables and their application to follow-up studies
- The Kaplan Meier product-limit estimate of survival and the log rank test
- Parametric methods
- The hazard function
- Use of regression and proportional hazards models to assess the association of factors other than time with survival
- Cox regression model
- Meta analysis
- Principles of inverse variance meta-analysis
- Meta-analysis for continuous and dichotomous outcomes
- Meta-analysis and forest plots in RevMan and Stata
*The terminology of ANOVA has been widely superseded by the terminology of multiple linear regression. The course will show briefly the equivalence of the two approaches for the benefit of students accustomed to ANOVA.
- Essential Medical Statistics, by Kirkwood and Sterne.
- SPSS in Practice: An Illustrated Guide. Basant K Puri. Second Edition. Hodder Arnold
Comments from previous participants:
"Very good presentation of a lot of information, with relevant examples, very good practical sessions and helpful lecturers"
Dr Richard Stevens
Role: Module Coordinator
Assessment will be based on submission of a written assignment which should not exceed 4,000 words.
Details of funding opportunities, including grants, bursaries, loans, scholarships and benefit information are available on our financial assistance page.
- Programme Fee
- Students enrolled on MSc in Evidence-Based Health Care: £1640.00
- Students enrolled on Postgraduate Dip in Health Research: £1640.00
- Short course in health sciences: £1970.00
Apply for this course
To apply for the course you should:
be a graduate or have successfully completed a professional training course
have at least two years' professional work experience in the health service or a health-related field
identify a work based problem for which you will be seeking evidence
be able to combine intensive classroom learning with the application of the principles and practices of evidence-based health care within the work place
have a good working knowledge of email, internet, word processing and Windows applications (for communications with course members, course team and administration)
show evidence of the ability to commit time to study and an employer's commitment to make time available to study, complete course work and attend course and university events and modules.
You can apply for this course in the following ways:
- Apply by post, email or fax
- Application pack .
Stand-alone Terms and Conditions (important: please read before applying) .
MSc Terms and Conditions. (important: please read before applying) .
Programmes including this module
This module can be studied as part of these programmes: