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Biostatistics
 
September 29 - October 2
Chris Palmer

crp10@medschl.cam.ac.uk
Teaching timetable

 

 
Tuesday
 
September 29th
 
 
Afternoon
 
 
 
 Session 1   ISARM
 Session 2   ISARM
 
 
 
 
Introduction to statistics
Study design & data collection
 
 
 
 
Wednesday
 
September 30th
 
Morning
 
 
Afternoon
 
 
 Session 3   ISARM
Practical 1     SPSS
 
 Session 4 ISARM
Practical 2     SPSS
 
Summarising & presenting data
Arranging data
 
Describing bivariate data
Describing data
 
 
 
Thursday
 
October 1st
 
Morning
 
 
Afternoon
 
 
 Session 5   ISARM
 Session 6   ISARM
 
 Session 7   ISARM
Practical 3     SPSS
 
 
Confidence interval concepts
Confidence interval applications
 
Hypothesis test concepts
Comparing groups
 
 
Friday
 
October 2nd
 
Morning
 
 
Afternoon
 
 
Session 8    ISARM Practicals 4-5 SPSS
 
Any Questions? Practicals 6-8 SPSS
 
 
Hypothesis test applications
Linear regression
 
Quiz a statistician
Further topics

 

Notes   Course presenters: Chris Palmer PhD, Centre for Applied Medical Statistics, University of Cambridge, UK  and Joana Vasconcelos MSc, BioEPI, Clinical & Translational Research Center, Lisbon.       
ISARM = Introductory Statistics and Research Methods
Each ISARM session comprises a talk and a written practical exercise, (generally using a pocket calculator) with examples drawn from clinical medicine, though applicable more widely
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 already familiar with SPSS should be able to cover more material than Practicals 1-5 during the course while others may regard later SPSS practicals (6-8) 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
 
 
 
 
 CRP 2009

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