Introduction to Regression Analysis

10 credits at Level 7

Module leader: Dr Mona Kanaan

Overview

This course provides you with a basic grounding in statistical methods applied in health research. It expands on the basic introduction to statistical methods provided in the Introduction to Health Statistics module. If your research project has a substantial quantitative component to it and you would like to acquire essential skills to enable you to explore your data this is the course for you.

Each session is composed of a lecture and a computer lab session where you have the opportunity to analyse real data using the statistical software SPSS. The computer lab sessions offer you a hands on approach to applying statistical techniques with the support of a team of tutors. 

Follow the link for further details of Introduction to Regression Analysis - HEA00001M

 

Entry

You should normally be a graduate with a 2:1 degree or higher, or equivalent from an overseas university, and be able to demonstrate that you have the necessary knowledge of and interest in a relevant area of health sciences. Applicants are assessed on a case-by-case basis, and we follow the University’s Equal Opportunities policy.

In addition you should be able to demonstrate that you have basic knowledge of descriptive statistics.

Credits and Cost

Qualification awarded

If you successfully complete this course you will be awarded 10 credit points by the University of York, at Level 7. You can also attend the course without completing the assessment.

Cost

Please visit www.york.ac.uk/healthsciences/gradschool/funding/.

 

 

For informal enquiries about this course email dohs-pg-enquiries@york.ac.uk.

To apply

Postgraduate application form (MS Word , 74kb).

Everything is helpful to my research and the knowledge will be put into practice.

Very informative - complex concepts presented in a very clear way.