In the spotlight: Treatment-effects lasso
 

Want to draw causal inferences from observational data?

Want to estimate ATEs and ATETs?

Want to control for many potential covariates?

Try treatment-effects estimation using lasso.

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In the spotlight: Bayesian vector autoregressive models

You fit your VAR models with var. You fit your Bayesian regression models with bayes:. You can now fit your Bayesian VAR models with bayes: var.

Follow along as Nikolay Balov shows the advantages of the Bayesian approach to modeling multiple time series.

Find out how »

2021 Stata Conference proceedings
 

Access all the great material shared at the 2021 Stata Conference. Whether you weren't able to attend or you want to follow up on your favorite presentation, you can learn from our user community even after the meeting.

View the proceedings »

An Introduction to Stata for Health Researchers, Fifth Edition

With many worked examples and downloadable datasets, this text by Svend Juul and Morten Frydenberg is the ideal resource for hands-on learning for health researchers.

The new edition adds examples of performing power, precision, and sample-size analysis; working with Unicode characters; managing data with ICD-9 and ICD-10 codes; and creating customized tables.

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Multilevel and Longitudinal Modeling Using Stata, Fourth Edition

This two-volume book is a comprehensive resource for learning to model clustered or hierarchical data.

Sophia Rabe-Hesketh and Anders Skrondal teach readers to fit a variety of models for continuous, categorical, ordinal, and survival-time outcomes. Along the way, you will learn each model's assumptions, Stata commands, diagnostics, and interpretation.

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Stata Press eBooks now available on EBSCO
 

Stata Press has partnered with EBSCO Information Services to offer our entire eBook collection on the EBSCO eBooks platform.

It is now even easier for libraries, those teaching with Stata, and those taking a course with Stata to have digital access to Stata Press eBook titles.

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