Rosie Cornish (course organiser) and other medical statisticians from the School of Social and Community Medicine.
24 - 28 November 2014
The aim of the course is to introduce the basic statistical concepts and methods commonly used in medical and public health research.
By the end of the course, students will be able to:
appreciate the role of statistical methods in epidemiology and public health
develop skills in presenting quantitative data using appropriate displays, tabulations and summaries
appreciate the nature of sampling variation and the role of statistical methods in quantifying variation, setting confidence limits, and testing hypotheses
select and use appropriate statistical methods in the analysis of simple datasets
understand and interpret output from statistical analyses
present findings based on statistical analysis in a clear, concise and understandable manner.
This course is intended for students who require a basic knowledge of the common statistical methods used in medical research. Previous computing experience is not required. Computer practical sessions will use Stata, so a basic knowledge, as provided by the Introduction to Stata course, would be advantageous but is not necessary.
Topics to be covered include:
Defining and displaying data
Sampling variation and confidence intervals
Comparison of two means
Comparison of two proportions
Linear regression and correlation
Sample size calculation
Teaching time is thirty hours. This will include interactive lectures and problem based paper practicals. There will also be a few computer-based sessions, which will use Stata.
Course handouts will cover all material. For those planning to attend other Departmental statistics courses we would recommend a copy of: Kirkwood BR, Sterne JAC, Essential Medical Statistics, 2nd ed. Oxford: Blackwell Science 2003 - but it is not compulsory for this course.
For further information please contact firstname.lastname@example.org