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**Essential medical statistics**

I**mportant information**: Before you start the course you should have worked through the following school statistics - revision material see here

Welcome. This is the first course in medical statistics which has been designed specifically for medics and those concerned directly with healthcare provision, and while students from other disciplines are welcome to use the material it is advised that they search out examples of the various techniques discussed within their own discipline to supplement this material.

The course assumes that you have some knowledge of, and expertise in, statistics including understanding of the common types of descriptive statistic (mean, median, mode and standard deviation/variance), graphical representation of data (boxplots, barcharts, histograms, scatterplots and straight line of best fit) along with the basics of probability.

If you feel that you do not understand any of these concepts then please complete the brief refresher course above before undertaking the actual course.

I have taken this above strategy because most medics trained in the UK will have studied mathematics and statistics both at school and at university.This is a 10 week ( around 100 hours of work) course which you may find rather different from other statistics courses you have taken this is because it focuses firmly on understanding and evaluation rather than blindly doing calculations etc. The concept of statistical validity is central to the course.

Another aspect of this course which you may find unusual is the introduction of a variety of software packages, for specific situations, the two core software applications being SPSS (for a short time called PASW) and R, including a free add on called R commander. R, a free open source application, has seen a meteoric rise in use in the last few years and is being increasingly used for introductory statistics courses.

This course requires you to carry out a large number of practical exercises yourselves and to facilitate this I have included a coursework booklet which you need to complete. Numerous screenshots in the pdf handouts along with over 20 HD youtube videos support this. Because the assignments require you to complete the coursework booklet, including other analyses in both SPSS and R, it is essential that from the very first week you carry out the analyses yourselves and do not just read the material and watch the videos.

**Course details and material**

**Required resources**

To complete this course you will need:

- A copy of Norman G R, Streiner D L. 2008 (3rd ed)
**Biostatistics: The bare Essentials**. [there are two versions of this book, you need the cheaper one without the SPSS disk] isbn: 978 155009 3476 Peoples medical publishing house/ mcgraw hill. www.bcdecker.com If you are a student of Edinburgh university/Rcsed you can access an electronic copy at: http://lib.myilibrary.com.ezproxy.webfeat.lib.ed.ac.uk/Open.aspx?id=227415 **Statistics at square one**by Mike Campbell et al BMJ publications, an excellent little book, available as a ebook at Edinburgh University- A copy of SPSS any version above 15 will be sufficient.
- A copy of 'R' available free from http://www.r-project.org/
- A copy of G power version 3 available free from: http://www.psycho.uni-duesseldorf.de/abteilungen/aap/gpower3/download-and-register

### Additional none essential texts

**Statistics at square two**by Mike Campbell et al BMJ publications is excellent, and available as a ebook at Edinburgh University**Understanding clinical papers**2nd ed. by David Bowers, Allan House, David Owens.

If you are a student of Edinburgh university/Rcsed you can access an electronic copy at (edin uni / rcsed students): http://www.dawsonera.com.ezproxy.webfeat.lib.ed.ac.uk/depp/reader/protected/external/AbstractView/S9780470091319**statistics workbook for evidence based healthcare**by Peat, Burton and Elliott at (edin uni / rcsed students): http://www.dawsonera.com.ezproxy.webfeat.lib.ed.ac.uk/depp/reader/protected/external/AbstractView/S9781444300505