2012 Stata Summer School
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.
All courses are deliverd by Tim Collier & Tim Clayton, London School of Hygiene & Tropical Medicine (University of London)
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
The examples used throughout will be from the field of medical statistics. However the underlying principles will have application in many areas of research. Throughout the day we will emphasise good practice for data management and analysis. The format for the training will be a series of ‘from the front’ demonstrations, which participants will follow along on their own computers, interspersed with short exercises.
Participants will be able to take away a set of course notes and data used on the course as well as files created throughout the day.
Learning Objectives:
The key objective of the day is to move you to a position where you are familiar or even friendly with Stata. To be more specific we want you to be familiar with Stata’s various windows and drop-down menus, understand how Stata deals with data and, importantly, know how to write, save and execute commands within do-files. You will learn key data management commands for loading data, investigating data, creating new variables and amending existing variables and combining datasets. You will also learn some commands for obtaining descriptive statistics, including tables and simple graphs, some common hypothesis tests and also linear regression. You will also learn how to use Stata’s online help facilities so that you will be able to continue learning beyond the course.
Prices
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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
Graph types to be covered during the day include: The two-way family of plots e.g. scatter plots and range plots; The Kaplan-Meier survival plot; Distributional plots e.g. including histograms, box-plots, bar charts.
Participants will be able to take away course notes, example datasets used during the day and some example do-files containing graph commands. The format for the training will be a series of ‘from the front’ demonstrations, which participants will follow along on their own computers, interspersed with short exercises.
Learning Objectives:
The objective of this one day course is to introduce you to Stata’s graphics facilities and give you a flavor of Stata’s graphics potential. Given the broad range of plot types and the huge array of options available (the Stata Graphics Reference manual consists of 600+ pages) it is not possible to teach or demonstrate all of Stata’s graphics facilities in a one-day course. So, firstly, you will be introduced to Stata’s comprehensive help facility and pointed towards other sources of help. This should enable you to build upon what is taught here and to continue learning to create effective graphs beyond the course. By the end of the course you should be able to produce publication quality graphs.
Prices
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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
The examples used throughout will be from the field of medical statistics. However the underlying principles will have application in many areas of research. Throughout the day we will emphasise good practice for data management and analysis. The format for the training will be a series of ‘from the front’ demonstrations, which participants will follow along on their own computers, interspersed with short exercises.
Learning Objectives:
The key objective is for you to learn the key Stata’s commands for carrying out advanced data management and processing. By the end of this course you should understand how Stata is organized and be able to use simple programming tools to save time and to carry out non standard data management tasks.
Prices
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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
An example study will be used throughout to help illustrate how to carry out a statistical analysis.
The examples used throughout will be from the field of medical statistics. However the underlying principles will have application in many areas of research. Throughout the day we will emphasise good practice for carrying out and reporting statistical analysis. The format for the training will be a series of ‘from the front’ demonstrations, which participants will follow along on their own computers, interspersed with short exercises. A series of do-files will be built up over the two days which participants can take away along with the data as a record of what they have done.
Learning Objectives:
The two key objectives are that by the end this course you will know how to fit statistical models in Stata for a variety of outcomes and, as or more importantly, how to interpret the output from these models. You should be able to compare models to select the most appropriate model and be able to report the results effectively.
Prices
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Prices
| 1-day |
£400.00
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£150.00
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| 2-days |
£750.00
|
|
£280.00
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| 3-days |
£950.00
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£400.00
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| 4-days |
£1,100.00
|
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£500.00
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| 5-days |
£1,200.00
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£550.00
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- All costs exclude VAT.
- Academic & Student registrations - Attendees must provide proof of academic status at the time of booking to qualify for academic and student registration rate.
- Cost includes course materials, temporary software licenses required to complete the course, lunch and refreshments. Laptop hire is available - £10.00 per day.
The number of delegates is restricted. Register early to guarantee your place. If you need assistance in locating hotel or residential accommodation in the area, please notify us at the time of booking.
Terms & Conditions
Registration closes 5-calendar days prior to the start of the course.
Cancellations:
- 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.
Payment of course fees required to guarantee your place.
Register Now
Last modified: 2012-07-25 11:56:02
