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Essential Medical Statistics

Key facts

TypesProfessional Development
Short Courses
LocationOxford
AddressRewley House
1 Wellington Square
Oxford
Oxfordshire
OX1 2JA. Map
DatesMon 13 to Fri 17 Apr 2015
Subject area(s)Health
CATS points20
FeesFrom £1640.00
Application statusApplications being accepted
Course codeO14C197B9Y
Course contactIf you have any questions about this course, please email cpdhealth@conted.ox.ac.uk or telephone +44 (0) 1865 286943.

Overview

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.

Description

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
    • 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
    • Principles of inverse variance meta-analysis
    • Meta-analysis for continuous and dichotomous outcomes
    • Meta-analysis and forest plots in RevMan and Stata
    • Heterogeneity
    • Meta-regression

*The terminology of ANOVA has been widely superseded by the terminology of multiple linear regression.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.

Core Reading

  • 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"

Staff

 

Dr Richard Stevens

Role: Module Coordinator

Richard Stevens is the Deputy Director, Statistics Group.

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.

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: £1640.00
Students enrolled on Postgraduate Dip in Health Research: £1640.00
Short course in health sciences: £1970.00

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 PDF document.

Stand-alone Terms and Conditions (important: please read before applying) PDF document.
MSc Terms and Conditions. (important: please read before applying) PDF document.

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