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Biostatistics
 
September 30 - October 3
Chris Palmer
Teaching timetable

 
Day 1
 
Wednesday
 
October 1st
 
Morning
 
 
Afternoon
 
 
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
 
Thursday
 
October 2nd
 
Morning
 
 
Afternoon
 
 
Session 4 ISARM
Practical 2 SPSS
 
Session 5 ISARM
Session 6 ISARM
 
Describing bivariate data
 
 
Confidence interval concepts
Confidence interval applications
 
Day 3
 
Friday
 
October 3rd
 
Morning
 
 
Afternoon
 
 
Session 7 ISARM
Session 8 ISARM
 
Practical 3 SPSS
Practical 4 SPSS
 
 
Hypothesis test concepts
Hypothesis test applications

 
Notes
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
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