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Key facts
| Types | Professional Development Short Courses |
|---|---|
| Location | Oxford |
| Address | Rewley House 1 Wellington Square Oxford Oxfordshire OX1 2JA. Map |
| Dates | Mon 9 to Fri 13 Dec 2013 |
| Subject area(s) | Health |
| CATS points | 20 |
| Fees | From £1575.00 |
| Application status | Applications being accepted |
| Course code | O13C197B9Y |
| Course contact | If you have any questions about this course, please email cpdhealth@conted.ox.ac.uk or telephone +44 (0) 1865 286941. |
Overview
This course 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.
The sessions will be taught informally and interactively. They will emphasise the practical application of statistical methods to real-life problems, rather than statistical theory, although an understanding of the basic concepts will be expected. The sessions will include time for students to explore and analyse using a variety statistical package.
Description
Who is it for?
The module is suitable 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.
Familiarity with SPSS would be useful but is not required.
Dates
3 - 7 September 2012
Essential Medical Statistics is a 5-day course and will take place at Rewley House.
Each days programme will be from 9:30 to 17:30 with breaks for lunch and refreshments.
Participants will receive the full course syllabus, which includes introductory reading materials and exercises, before the start of the course in order to do any preparation needed.
Programme details
This module will cover:
- Hypothesis tests
- Principles of analysis of variance (ANOVA)
- one way ANOVA; repeated measures ANOVA
- non parametric analogues of ANOVA (Kruskall-Wallic and Friedman tests)
- Association between variables
- Pearson, Spearman and Kappa correlation coefficients
- Bland and Altman method of assessing agreement
- Multiple logistic regression
- Uses of multiple logistic regression
- interpretation
- interaction
- 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
Staff
Course aims
Benefits
By the end of the module, students should have an understanding of the principles of:
- Analysis of variance (ANOVA)
- Pearson, Spearman and Kappa correlation coefficients
- Bland and Altman method of assessing agreement
- Multiple logistic regression
- Survival analysis and meta analysis
Assessment methods
Assessment will be based on submission of a written assignment which should not exceed 4,000 words.
Accommodation
Accommodation is available at the Rewley House Residential Centre, within the Department for Continuing Education, in central Oxford. The comfortable, en-suite, study-bedrooms are rated 3-star, and come with free high-speed internet access and TV. Guests can take advantage of the excellent dining facilities and common room bar, where they may relax and network with others on the programme.
Scholarships
Details of funding opportunities, including grants, bursaries, loans, scholarships and benefit information are available on our financial assistance page.
Fee options
- Programme Fee
- Students enrolled on MSc in Evidence-Based Health Care: £1575.00
- Students enrolled on Postgraduate Cert in Health Research: £1575.00
- Students enrolled on Postgraduate Dip in Health Research: £1575.00
- Short course in health sciences: £1890.00
Apply for this course
Admissions Criteria:
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: