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Stata

Learn how to effectively analyze survival data using Stata. We cover censoring, truncation, hazard rates, and survival functions. Topics include data preparation, descriptive statistics, life tables, Kaplan–Meier curves, and semiparametric (Cox) regression and parametric regression. Discover how to set the survival-time characteristics of your dataset just once then apply any of Stata's many estimators and statistics to that data.

Written for everyone who uses Stata, whether health researchers or social scientists. We provide lesson material, detailed answers to the questions posted at the end of each lesson, and access to a discussion board on which you can post questions for other students and the course leader to answer.

Event date 18. Jan 2019, 18:00
Event End Date 08. Mar 2019, 22:00
Individual Price 295 US$
Location Online

Become an expert in the analysis and implementation of linear, nonlinear, and dynamic panel-data estimators using Stata. This course focuses on the interpretation of panel-data estimates and the assumptions underlying the models that give rise to them. The course is geared for researchers and practitioners in all fields. The breadth of the lectures will be helpful if you want to learn about panel-data analysis or if you are familiar with the subjects.

The concepts presented are reinforced with practical exercises at the end of each section. We also provide additional exercises at the end of each lecture and access to a discussion board on which you can post questions for other students and the course leaders to answer.

Event date 18. Jan 2019, 18:00
Event End Date 01. Mar 2019, 22:00
Individual Price 295 US$
Location Online

Learn about univariate time-series analysis with an emphasis on the practical aspects most needed by practitioners and applied researchers. Written for a broad array of users, including economists, forecasters, financial analysts, managers, and anyone who wants to analyze time-series data. Become expert in handling date and date-time data; time-series operators; time-series graphics, basic forecasting methods; ARIMA, ARMAX, and seasonal models.

We provide lesson material, detailed answers to the questions posted at the end of each lesson, and access to a discussion board on which you can post questions for other students and the course leader to answer.

Event date 18. Jan 2019, 18:00
Event End Date 08. Mar 2019, 22:00
Individual Price 295 US$
Location Online

Learn how to create and debug your own commands that are indistinguishable from the commands in Stata. You will be able to parse both standard and nonstandard Stata syntax using the intuitive syntax command, to manage and process saved results, to post your own saved results, to process by-groups, to create data management commands, to program your own maximum-likelihood estimator, and more. In short, learn to create commands that act just like the commands that ship with Stata.

Event date 18. Jan 2019, 18:00
Event End Date 08. Mar 2019, 22:00
Individual Price 175 US$
Location Online

Become intimately familiar with all three components of Stata: data management, analysis, and graphics. This course is aimed at both new Stata users and those who wish to learn techniques for efficient day-to-day use of Stata. Upon completion of the course, you will be able to use Stata efficiently for basic analyses and graphics. You will be able to do this in a reproducible manner, making collaborative changes and follow-up analyses much simpler. Finally, you will be able to make your datasets self-explanatory to your co-workers and yourself when using them in the future.

Event date 05. Feb 2019, 17:00
Event End Date 08. Feb 2019, 18:00
Cut off date 05. Feb 2019, 0:00
Individual Price 950 US$
Location Online

This course covers the use of Stata for structural equation modeling (SEM). SEM is a class of statistical techniques for modeling relationships among variables, both observed and unobserved. SEM encompasses some familiar models such as linear regression, multivariate regression, and factor analysis and extends to a variety of more complicated models. The course provides an overview of fitting linear structural equation models and evaluating the model fit.

Event date 05. Mar 2019, 17:00
Event End Date 08. Mar 2019, 18:00
Cut off date 05. Mar 2019, 0:00
Individual Price 1295 US$
Location Online