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 London UK » Jul 2014 » Stata » Medical Stats »

# An Introduction to Stata for Medical Statistics Course 4 of the 2014 Stata Summer School, London, UK

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10-11 July 2014
Cass Business School, City University London, UK (View map)
2-days
Stata
Medical Statistics (Introductory)
Tim Collier, London School of Hygiene & Tropical Medicine (LSHTM) (View profile)
Tim Clayton, LSHTM (View profile)
SSS-121-UK

## Overview

An Introduction to Stata for Medical Statistics is one of five courses that make up the 2014 Stata Summer School. Tim Collier and Tim Clayton, of the London School of Hygiene & Tropical Medicine lead this two day course between 10-11 July 2014. This course is intended for people who are reasonably familiar with Stata (e.g. have attended the one-day Introduction to Stata course) but who would like to develop their statistical analysis skills.

In this two-day course we will look at how to use Stata to analyse data that typically arises in medical research including continuous outcomes e.g. blood pressure, binary outcomes e.g. dead/alive and time-to-event outcomes e.g. time to myocardial infarction. We will look at how to fit appropriate models in Stata and how to interpret the resulting output. We will look at how to adjust for multiple explanatory variables, allow for interactions and how to obtain model predictions.

### Course outline:

• 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.

## Agenda

### Day 1

#### Session 1: Linear Regression I

• Course overview;
• Analysis of continuous outcome variables;
• Univariable linear regression;
• Fitting binary, categorical and continuous explanatory variables.

#### Session 2: Linear Regression II

• Multivariable linear regression;
• Fitting quadratic and interaction terms;
• Comparing models using F-tests;
• Obtaining fitted values and model checking.

#### Session 3: Logistic Regression I

• Analysis of binary outcomes;
• Univariable logistic regression;
• Fitting binary, categorical and continuous explanatory variables.

#### Session 4: Logistic Regression II

• Multivariable logistic regression;
• Comparing models using likelihood ratio tests;
• Assessing model performance using area under the curve;
• Automated step wise model selection.

### Day 2

#### Session 1: Survival Analysis I

• Introduction to analysis of time-to-event outcomes;
• Setting up data for survival analysis;
• Commands for summarising survival data;
• Producing Kaplan-Meier curves.

#### Session 2: Survival Analysis II

• Univariable Cox proportional hazards modelling;
• Fitting binary, categorical and continuous explanatory variables.

#### Session 3: Survival Analysis III

• Multivariable Cox proportional hazards modelling;
• Comparing models using likelihood ratio tests;
• Testing the proportional hazards assumption;
• Creating a simple prognostic model.

#### Session 4

• Q & A session.

### Learning Ratio

• 20% theory; 80% practical application.

• Juul, S., (2006). An Introduction to Stata for Health Researchers, Second Edition, Stata Press.
• Rabe-Hesketh, S., and Everitt, B., (2009). A Handbook of Statistical Analysis Using Stata, Fourth Edition, Stata Press. (Available in the Timberlake Bookshop)
• Vittinghoff, E., Glidden, D. V., Shiboski, S. C., and McCulloch, C. E., (2012). Regression Methods in Biostatistics: Linear, Logistic, Survival, and Repeated Measures Models (Statistics for Biology and Health), Second Edition, Springer.

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

## Prerequisites

Familiarity with Stata is required. Basic knowledge of statistics and econometric concepts such as linear regression, logistic regression and survival analysis is advisable.

Coming soon.

## Prices

Cost (per participant):

The following prices are for all courses at the 2014 Stata Summer School. For delegates wishing to attend this course only, please refer to Non-academic/Academics & Student "any 2-days" pricing below.

• 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 enrolment).
• Additional discounts are available for multiple registrations.
• Cost includes course materials, lunch and refreshments.
• Delegates are provided with temporary licences for the software(s) used in the course and will be instructed to download and install the software prior to the start of the course. (Alternatively, laptops can be hired for a fee of £10.00 (ex. VAT) per day).
• If you need assistance in locating hotel accommodation in the region, please notify us at the time of booking.

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

## Registration

We welcome delegates to find out more and register for the course by contacting our sales and training team either by email: training@timberlake.co.uk, phone: +44 (0) 20 8697 3377 or by filling out an online registration form.

## Terms & Conditions

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.

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