TBA

Cass Business School, 106 Bunhill Row, London, EC1Y 8TZ, UK.

The Course - The aim of this course is to introduce the use of Stata for dealing with the analysis of data that typically arise in medical research. The emphasis is practical so that participants should understand both the principles of analyses and how to carry them out using Stata .

Participants should, by the end of the course, be able to use Stata for carrying out their own analyses for the most common types of problem encountered in medical statistics.  Examples from published research will be used wherever possible, and participants are encouraged to bring their own data if they wish. Stata 10 will be used throughout the course.

The overall structure and content of the course is as described below. Each session will begin with an introductory talk and demonstration, following which participants will work through examples under supervision.

Who should attend - The course is aimed at either medical researchers who have had minimal exposure to statistical methods or at statisticians who wish to learn how to use Stata .

The Principal Lecturers - The course has been developed and is taught by two principal lecturers:

Stephen Evans - Stephen is a Professor of Pharmacoepidemiology, working in the Medical Statistics Unit at the London School of Hygiene & Tropical Medicine . His first degree was in physics and chemistry and included a year in the US doing physics and philosophy. Having worked in computing for a while, he did a MSc in Medical Statistics at LSHTM and worked in statistics and computing at The London Hospital and Medical College for 25 years. Stephen also worked for the UK Medicines Control Agency and Quintiles (mainly on the Bristol Royal Infirmary Inquiry)

Tim Collier - Tim is a Lecturer in Medical Statistics, working in the Medical Statistics Unit at the London School of Hygiene & Tropical Medicine. He graduated in Mathematics and Environmental Management in 2000 and obtained an MSc in Medical Statistics at the London School of Hygiene & Tropical Medicine in 2001. His main area of research interest is in coronary heart disease and in particular the association between physical exercise, obesity and the metabolic syndrome.

Cost - The cost of the course is:

The overall structure and content of the course is as described below. Each session will begin with an introductory talk and demonstration, following which participants will work through examples under supervision.

Sessions (first day - registration 10H00 and start time 10.30 )

General introduction to Stata

• the working environment
• an overview of capabilities
• command syntax, drop down menus and do-files
• getting help in Stata
• how Stata is organised and keeping Stata up-to-date

Processing data

• loading and saving data from/in various formats
• creating new variables
• housekeeping - labelling data, variables etc.
• dealing with string variables, dates and missing values

Examining data

• checking for problems and errors
• checking and describing distributions
• summarising data in tables and figures
• saving results in log-files

Managing data

• reshaping, combining and collapsing datasets

Analysing data

• simple comparisons – t-test, Chi-square test, non-parametric
• linear and logistic regression
• survival analysis
• meta analysis
• correlated data

Other topics

• immediate commands
• resampling and simulation
• writing simple programs

Registration closes 5 calendar days prior to the start of the course.

Cancellations:

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