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EVIDENCE-BASED-HEALTH  May 2009

EVIDENCE-BASED-HEALTH May 2009

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Subject:

Course: Medical Statistics Sheffield June 15-16

From:

Mike Campbell <[log in to unmask]>

Reply-To:

Mike Campbell <[log in to unmask]>

Date:

Wed, 6 May 2009 15:03:17 +0100

Content-Type:

text/plain

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Practical Statistics for Medical and Health Care Research


Statistical analysis features in the majority of research papers published in the 
health and social care literature. In order to understand and appraise this 
evidence most health and social care practitioners will need a basic 
understanding of statistical principles, but not necessarily full details of the 
statistical techniques.

Most health and social care practitioners do not carry out research. However, 
if they pride themselves on being up to date they will definitely be consumers 
of health and social care research. Evidence-based healthcare requires that 
heath care practitioners consider critically all the evidence about whether a 
treatment works. This course is aimed at consumers of statistics who need to 
be able to read the research literature in their field with a critical eye.

This practical course will introduce participants to basic concepts and 
techniques such as hypothesis testing and confidence interval estimation in 
statistics. Participants will learn some simple statistical methods and the 
principles behind some advanced methods such as regression. It will equip 
participants with the knowledge and skills necessary to understand and 
critically appraise statistics in medical, health and social care research 
literature.

THe course will consist of a mixture of presentations, group work, discussions 
and individual exercises.
Suitable For

This course is aimed at consumers of statistics who need to be able to read 
the research literature in their field with a critical eye.
Pre Course Requirements

Basic numeracy, equivalent to GCSE Grade C or above Mathematics
Course dates

15 & 16 June 2009
Course Venue

The Leopold Hotel, Sheffield
Timings

9am to 5pm
Course Faculty

    * Professor Mike Campbell
    * Dr Stephen Walters

Course Content

• Uses and abuses of medical statistics
• Overview of the classification of data into different types.
• Methods for displaying (pie and bar charts) and summarising categorical data 
(frequency tables).
• Methods for displaying (dot plots/histograms/stem and leaf plots) and 
summarising numerical data (mean, median, mode).
• Describing and exploring the variability of data (range, variance, standard 
deviation, inter-quartile range and use of box-plots).
• Summary measures for binary data (Rates/proportions/risk, absolute risk 
difference; Relative Risk; NNT; Odds and Odds ratios).
• Probability and distributions (including rules of probability and the properties 
and use of the Normal distribution).
• Sampling methods and examining and comparing data, with confidence 
intervals.
• Hypothesis testing and comparing data, with P-values.
• Analysing and comparing continuously measured data (e.g. two independent 
samples t-test/paired t-test and associated CIs.)
• The use of non-parametric methods (e.g. Wilcoxon, Mann-Whitney U) to 
analyse skewed or non-Normally distributed continuous data.
• Analysing and comparing simple categorical data (chi-squared test and CI for 
difference in proportions).
• Statistical modelling of data - using simple linear regression and correlation.

The course is based on and will include a copy of a best selling statistics text 
book and a very useful practical guide to presenting and displaying data.

Campbell M.J., Machin D., Walters S.J. Medical Statistics: A text book for the 
health sciences. 4th edition. Chichester: Wiley 2007.

Freeman J.V., Walters S.J., and Campbell M.J. How to display data. Oxford: 
BMJ Books, Blackwell 2008.

It will also include a free copy of some in house software for analysing 
categorical data.
Expected Outcomes of this Programme

This course aims to introduce participants to fundamental concepts and 
methods in medical statistics. It also aims to enable participants to apply 
these concepts to critically appraise the research literature.

By the end of the course, participants will be able to:
1. Classify and appropriately display and summarise different types of data.
2. Describe the properties of the Normal distribution.
3. Distinguish between a population and a sample, and describe the precision 
of a sample estimate of a population parameter.
4. Explain the concept of confidence intervals as applied to means, 
proportions, differences in means, and differences in proportions.
5. Describe the process of setting and testing statistical hypothesis.
6. Distinguish between `statistical significance´ and `clinical significance´.
7. Evaluate the quality of published research.
Academic Award

This course will be registered for verifiable CPD
Accommodation

Overnight accommodation can be booked at the Leopold Hotel- please quote 
SUNICONF when you book to ensure you receive our discounted rate. Please 
note however, that you may receive a better rate through the hotel's own 
website.


Please wait for confirmation of your place on the course before booking your 
hotel accommodation as places are allocated on a first come, first served 
basis.
Fees

This course is charged at £1,000 per person.
Further Information

If you have any queries, please contact Jacquie Ivins:
Tel: + 44 (0)114 222 2968
Fax: + 44 (0)114 272 4095

email : [log in to unmask]

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