About BEB
CNC Research
BEB in the Media
September 30 - October 3
Chris Palmer
Teaching timetable

Day 1
October 1st
Session 1 ISARM
Session 2 ISARM
Session 3 ISARM
Practical 1 SPSS
Introduction to statistics
Study design & data collection
Summarising and presenting data
Day 2
October 2nd
Session 4 ISARM
Practical 2 SPSS
Session 5 ISARM
Session 6 ISARM
Describing bivariate data
Confidence interval concepts
Confidence interval applications
Day 3
October 3rd
Session 7 ISARM
Session 8 ISARM
Practical 3 SPSS
Practical 4 SPSS
Hypothesis test concepts
Hypothesis test applications

Course presenters: Chris Palmer PhD and Joana Vasconcelos MSc Centre for Applied Medical Statistics, University of Cambridge UK
ISARM = Introductory Statistics and Research Methods
Each ISARM session comprises a talk and a written practical exercise, (generally using a calculator) with examples drawn from clinical medicine
SPSS practicals follow on from ISARM sessions and are largely self-taught from course booklet provided, with guidance and help from presenters as needed
Those familiar with SPSS may be able to cover more material than is indicated above during the course while others may regard further SPSS practicals (5-8) as additional exercises for personal study
Introductory Statistics And Research Methods
This course aims to:
1.        Discuss the strengths and weaknesses of various study designs in medical research
2.        Show how best to collect and summarise data
3.        Describe core statistical inference concepts such as 95% confidence intervals and hypothesis testing (p-values)
4.        Introduce some further standard methods for analysing health research data
By the end of this course, you should be able to:
·         Better understand and appraise the published medical literature
·         Understand, knowing when and how to implement basic statistical tests
·         Select an appropriate study design to answer particular research questions
·         Select appropriate statistical tests to analyse data arising
Getting Started With SPSS®
This course aims to:
1.        Cover those techniques of data preparation needed prior to data analysis for medical studies with common designs
2.        Offer practical implementation of statistical analysis methods covered in the Introductory Statistics and Research Methods course
3.        Through encountering data sets, to introduce additional methods of analysis
By the end of this course, you should be able to:
·         Use the SPSS® software to manage data and perform simple statistical analyses
·         Refer to the course booklet as a practical manual
·         Know the extent of your experience with data analysis and therefore when to seek statistical support
© 2021 BEB - Doctoral Programme in Experimental Biology and Biomedicine powered by Digitalwind