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
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
THe course will consist of a mixture of presentations, group work, discussions
and individual exercises.
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
15 & 16 June 2009
The Leopold Hotel, Sheffield
9am to 5pm
* Professor Mike Campbell
* Dr Stephen Walters
• 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
• 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
• 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
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.
This course will be registered for verifiable CPD
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
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
This course is charged at £1,000 per person.
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]