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The 2014 Stata Summer School
Venue: Hotel Birger Jarl Conference, Stockholm, Sweden  
Date:  August 10-15, 2014


Each year Metrika organizes a Stata Summer School. The summer schools represent a unique opportunity for students, academics, and professionals to expand their skills in data management and data analysis and to learn how these skills can be applied to their own fields. All courses combine teaching and problem solving, and there are ample opportunities for participants to ask questions and to receive individualized guidance. 

The 2014 Summer School is jointly organized by Metrika Consulting and Statistical Horizons. Based in the United States, Statistical Horizons has established a reputation for providing outstanding training in statistics for researchers working in academia, business, non-profit organizations, and government.

The courses are taught by Paul Allison, Thomas Grund, and Peter Hedström, all of whom are experienced Stata users, and effective teachers of statistical methods. 


August 10-11. Introduction to Stata (Peter Hedström)

This is a two-day introductory course for everyone who is interested in using Stata. No prior knowledge of Stata is required. The course offers a basic introduction to Stata and to data management using Stata. 


Course Outline:

How the Stata interface is organized: review window, variables window, results windows, do-file editor, data browser, etc.

The basic Stata commands.

Setting up your data: file management, recoding, and transforming data.

How to save your results in log files.

Reading data into Stata from non-Stata files.

Recoding and transforming variables.

Variable and value labels.

Reshaping your data.

Creating summary datasets.

Merging two or more data files.

How to work with do-files.

How to tabulate and graph your data.

Stata commands covered include use, save, import, export, list, browse, edit, describe, summarize, in, if, by, sort, generate, egen, replace, recode, rename, encode, drop, keep, expand, reshape, merge, append, collapse, tabulate, graph.


August 12-13. Stata Graphics (Thomas Grund)

The Stata graphics command is extremely powerful and flexible, and it allows you to fine-tune the production of publication-quality graphs to fit your needs. The wide range of options means that many Stata users only use a small fraction of its capabilities, however. This two-day course gives you detailed knowledge of graphics in Stata, and will show you how to make full use of Stata's powerful graphics engine.


Course outline:

Graph editor and graph recorder



Line plots

Bar plots

Pie charts

Contour plots

Network plots

Adding confidence intervals

Using and writing schemes

Using graphics styles

Controlling the axes

Overlaying several plots

Producing animations from several plots


Stata commands covered include: hist, scatter, line, pie, bar, pcarrow, pcspike, contour, hist, nwplot, animate.



August 12-13. Longitudinal Data Analysis Using Stata (Paul Allison). This course now is full.

In this two-day course, you will learn how to do regression analysis of panel data—the most common type of longitudinal data. Panel data contain measurements of predictor and response variables at two or more points in time for many individuals. Although panel data have many attractions, the downside is that repeated measurements typically violate assumptions of independence.

This seminar covers four methods for solving the problem of dependent observations: robust standard errors, generalized estimating equations, random effects (mixed) models and fixed effects models. You'll learn how to use these methods for quantitative outcomes, categorical outcomes, and count data outcomes.

We'll cover the following Stata commands: reg, areg, xtreg, xtmixed, logit, ologit, clogit, mlogit, xtlogit, xtmelogit, xtgee, xtpoisson, xtnbreg, mixed, melogit, mepoisson, menbreg, meologit, meglm, sem, and reshape.  


Course outline

1. Opportunities and challenges of panel data.
    a. Data requirements
    b. Control for unobservables
    c. Determining causal order
    d. Problem of dependence
    e. Software considerations

2. Linear models
   a. Robust standard errors
   b. Generalized estimating equations
   c. Random effects models
   d. Fixed effects models
   e. Hybrid models

3. Logistic regression models
   a. Robust standard errors
   b. Generalized estimating equations
   c. Subject-specific vs. population averaged methods
   d. Random effects models
   e. Fixed effects models
    f. Hybrid models

4. Count data models
   a. Poisson models
   b. Negative binomial models
   c. Fixed and random effects 

5. Linear structural equation models
   a. Fixed and random effects in the SEM context
   b. Models for reciprocal causation with lagged effects



August 14-15. Survival Analysis Using Stata (Paul Allison). This course now is full.

This two-day course covers both the theory and practice of survival methodology. Assuming no previous knowledge of survival analysis, this seminar will cover  the essential tools needed to do time-to-event analysis. Topics include censoring, Kaplan-Meier estimation, Cox regression, time-dependent covariates, competing risks, discrete-time analysis, heterogeneity, stratification, and repeated events. 

Stata commands covered include stset, sts list, sts graph, sts test, stcox, stcurve, logisticcloglog and stcrreg


Course outline

1.  Fundamentals of survival analysis
2.  Problems with conventional methods
3. Types of censoring 
4. Kaplan-Meier estimation 
5. Proportional hazards models 
6. Partial likelihood estimation 
7. Interpretation of parameters 
8. Competing risks 
9. Time dependent covariates 
10. Discrete time analysis 
11. Sensitivity analysis for censoring 
12. Choice of time axis 
13. Testing the proportional hazards assumption 
14. Stratification
15. Heterogeneity and time dependence 
16. Repeated events 
17. Left censoring, left truncation



The Summer School is held at Hotel Birger Jarl and they offer discounted accommodation for all course participants (please contact us for further details). 

Please register for the courses you want to attend by sending us an email.

Attendence is limited and is allocated on a first come, first serve basis. Please register long in advance to guarantee your place.

Stata 13 software is provided free of charge to all participants during the courses but participants are assumed to bring their own laptops.


Prices (purchase online)

Introduction to Stata

Academic and student                         4057 SEK

Non-academic                                     6085 SEK


Stata Graphics

Academic and student                         5071 SEK

Non-academic                                     8114 SEK


Longitudinal analysis  (Fully booked)

Academic and student                         5071 SEK

Non-academic                                     8114 SEK


Survival analysis   (Fully booked)

Academic and student                         5071 SEK

Non-academic                                     8114 SEK


Two courses: Introduction to Stata and Graphics

Academic and student                         7614 SEK

Non-academic                                    11671 SEK



Please observe:

  • These prices do not include Swedish VAT/moms.
  • Faculty members and students must provide a proof of their current university affiliation at the time of booking (valid university email address for academics, and valid student ID card or official letter of enrollment for students)
  • The price includes course materials, lunch and refreshments (you will need to notify us well in advance in case of special dietary requirements)
  • These courses will be given in English.


Terms & conditions

  • Only paid participants are guaranteed places in the courses.
  • 100% of the fee is returned for cancellations made over four weeks prior to start of the course.
  • 50% of the fee is returned for cancellations made two weeks prior to the start of the course.
  • No fee is returned for cancellations made less than two weeks prior to the start of the course.