|London||UK »||Jul 2014 »||Stata »|
2014 Stata Summer School
| 7-12 July 2014
Cass Business School, City University London, UK (View map)
4 x 1-day courses; 1 x 2-day course
Various Methods / Applications
(Introductory / Intermediate / Advanced)
|Overview||Agenda||Prerequisites||Testimonials||Prices||Registration||Terms & Conditions|
Officially announcing our 2014 Stata Summer School to be held at Cass Business School, City University London, UK.
The Stata Summer School comprises a series of four 1-day courses and one 2-day course running consecutively between 7-12 July 2014.
This is a great opportunity for students, academics and professionals to expand their econometrics skills and learn how they can apply econometrics and statistics from professionals pioneering research at the forefront of their specialist fields.
Timberlake Consultants are the official Stata distributors to the UK, Ireland, Middle East, North Africa, Spain, Portugal, Poland and Brazil.
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Detailed agenda to be made available soon. The following provides a brief description of each session.
- Course 1: An Introduction to Stata
- Course 2: An Introduction to Stata Graphics
- Course 3: Advanced Data Management in Stata
- Course 4: An Introduction to Stata for Medical Statistics
- Course 5: An Introduction to Meta-analysis
This one-day introductory course is for people interested in using Stata for research. No prior knowledge of Stata is required.
- 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
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.
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.
- 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
This one-day 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.
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.
- Introduction to course and brief review of Stata basics
- Introduction to how Stata is organised
- 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
This intermediate 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.
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.
- 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
A one-day course that is aimed at both academics and practitioners, with a basic knowledge of Stata, who are interested in applying meta-analysis using Stata commands designed for this purpose.
Meta-analysis is a statistical technique for combining the findings from independent studies. This one-day course introduces the main statistical techniques for meta-analysis and shows how to do it in practice using the Stata commands metan, metareg and mvmeta.
- Basic Stata commands for meta-analysis
- Effect sizes based on binary and continuous data
- Fixed vs. random effects models for meta-analysis - Testing for heterogeneity
- Subgroup analysis and meta-regression
- Multivariate meta-analysis
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To be confirmed.
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Cost (per participant):
|Registration type||Price (inc. VAT)|
|Non-academic (any 1-day)||£480.00|
|Non-academic (any 2-days)||£900.00|
|Non-academic (any 3-days)||£1,140.00|
|Non-academic (any 4-days)||£1,320.00|
|Non-academic (any 5-days)||£1,440.00|
|Non-academic (all 6-days)||£1,560.00|
|Academics & Students (any 1-day)||£180.00|
|Academics & Students (any 2-days)||£336.00|
|Academics & Students (any 3-days)||£480.00|
|Academics & Students (any 4-days)||£600.00|
|Academics & Students (any 5-days)||£660.00|
|Academics & Students (all 6-days)||£720.00|
|Click here for Pricing FAQs »|
- 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.
- 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.
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We welcome delegates to find out more and register for the course by contacting our sales and training team either by email: firstname.lastname@example.org, phone: +44 (0) 20 8697 3377 or by filling out an online registration form.
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For full Training Courses Terms & Conditions please click here.
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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