## An Introduction to Medical Statistics using Stata

This course, delivered by Tim Collier from the London School of Hygiene & Tropical Medicine, will give you an introduction to analysing medical data in Stata. You will develop your statistical analysis skills for a wide range of data types, including continuous data (e.g. blood pressure), binary outcomes (e.g. dead/alive) and time-to-event outcomes (e.g. time to myocardial infarction)

### What topics will you cover?

• Understanding the principles of statistical analysis
• Fitting models in Stata and understanding the output
• Including categorical explanatory variables
• Fitting multiple explanatory variables
• Fitting interactions
• Comparing models and model selection
• Obtaining model predictions
• Reporting results
• Setting up survival data in Stata

### Course overview

Introduction to course and data

Principles of statistical analysis

For each of continuous, binary and time-to-event outcomes:

• Fitting models in Stata and understanding the output
• Including categorical explanatory variables
• Fitting multiple explanatory variables
• Fitting interactions
• Comparing models and model selection
• Obtaining model predictions
• Reporting results

For time-to-event outcomes:

• Setting up survival data in Stata

• An Introduction to Stata for Health Researchers - Morten Frydenberg, Svend Juul
• A Handbook of Statistical Analysis Using Stata 4th edition - Sophia Rabe-Hesketh and Brian Everitt
• Regression Methods in Biostatistics – Linear, Logisitic, Survival and Repeated Measures Models–Eric Vittinghoff, David Glidden, Stephen Shiboski, Charles McCulloch, Springer

The following books are good general introductions to medical statistics but do not focus on any statistical software:

• Essential Medical Statistics - B Kirkwood and J Sterne, 2nd Edition, Blackwell Science
• Practical Statistics for Medical Research – Doug Altman, Chapman & Hall/CRC
• All costs exclude local taxes, where applicable.
• Student registrations: Attendees must provide proof of full time student status at the time of booking to qualify for student registration rate (valid student ID card or authorised letter of enrollment).
• Additional discounts are available for multiple registrations.
• Cost includes course materials, lunch and refreshments.
• If you need assistance in locating hotel accommodation in the region, please notify us at the time of booking.
• Payment of course fees required prior to the course start date.
• Registration closes 5-calendar days prior to the start of the course.
• 100% fee returned for cancellations made over 28-calendar days prior to start of the course.
• 50% fee returned for cancellations made 14-calendar days prior to the start of the course.
• No fee returned for cancellations made less than 14-calendar days prior to the start of the course.

The number of delegates is restricted. Please register early to guarantee your place.