We are pleased to invite you to attend our first Stata Summer School, which will take place at Cass Business School, London between 2-6 July 2012.

Timberlake Consultants are the official Stata distributors to the UK, Ireland, Middle East, Spain, Portugal, Poland and Brazil.

Course 1: An Introduction to Stata 12, 2 July 2012
Course 2: An Introduction to Stata Graphics, 3 July 2012
Course 3: Advanced Data Management in Stata 12, 4 July 2012
Course 4: Introduction to Stata for Medical Statistics, 5 & 6 July 2012

Course 1: An Introduction to Stata 12

2 July 2012

Constituency:

This one-day introductory course is for people interested in using Stata for research. No prior knowledge of Stata is required.

Course Outline:

Brief overview of Stata's statistical, graphical and data management capabilities
Introduction to the Stata working environment
Using Stata via the Graphical User Interface and the command window
Understanding Stata's command syntax
Helping you to help yourself - introducing Stata's online help facilities
Working efficiently with do-files
Saving results output in a log file

An example data analysis project in Stata:

Loading data into Stata from Excel
Generating new variables
Combining data files to create an analysis dataset
Good housekeeping - labelling your data
Descriptive statistics: tables and figures
Hypothesis tests: t-test and chi-square test
A brief introduction to linear regression

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Course 2: An Introduction to Stata Graphics

3 July 2012

Constituency:

This one-day introductory course is intended for people who would like to be able to produce publication-quality graphs using Stata. Some experience of using Stata and some level of statistical knowledge would be helpful though not essential.

Overview:

Stata enables the production of a wide range of publication-quality graphs. All Statas graphics features can be accessed through the Graphical User Interface (GUI) making it simple to produce eye-catching graphs. With Statas integrated Graph Editor you can change anything about your graph; you can modify, add or remove titles, lines, text, marker symbols and much more. The Graph Editor features a record and playback facility which enables sets of changes to be saved and then applied to a series of graphs. Stata has a series of built-in graph styles, but it is also possible to create your own style that can easily be applied to any graph. Producing graphs using the command syntax in do-files enables easy reproduction of graphs and can save time when creating similar graphs.

Course Outline:

Introduction to Stata graphics
Resources for learning Stata graphics
Producing graphs using the Graphical User Interface
Producing graphs using the command syntax in do-files
Editing graphs using Statas Graph Editor
Combining graphs
Graph schemes

An example graph project:

Data management for a graph
Building up a graph command
Adding titles, legends, text etc.
Saving and exporting graphs

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Course 3: Advanced Data Management in Stata 12

4 July 2012

Constituency:

This one-day introductory 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 data management skills and work more efficiently.

Overview:

As well as statistical and graphical capabilities Stata also has an excellent, flexible and wide ranging suite of tools for data management. In this one-day course we will looks at how to handle data of different types, e.g. continuous, categorical, string and dates. We will look at how to change the shape of a dataset e.g. transpose or collapse to create a summary dataset. We will also learn some simple programming tools that will help you save time in your research.

Course Outline:

Introduction to course and brief review of Stata basics
Introduction to how Stata is organized
Loading data into Stata from non Stata formats
Useful functions for creating summary variables
Dealing with string variables and dates in Stata
Changing the shape of your data
Creating summary datasets
Using Stata's system variables for data management tasks
Some simple programming tools for saving time

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Course 4: Introduction to Stata for Medical Statistics

5 & 6 July 2012

Constituency:

This two-day introductory statistics 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.

Overview:

In this two-day course we will look at how to use Stata to analyze 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

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