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This collection of articles from Stata Journal and Stata Technical Bulletin provide a detailed description of a range of meta-analytic methods. They show how to conduct and interpret meta-analysis; how to produce flexible graphical displays; how to use meta-regression; how to ex…
This collection of articles from Stata Journal and Stata Technical Bulletin provide a detailed description of a range of meta-analytic methods. They show how to conduct and interpret meta-analysis; how to produce flexible graphical displays; how to use meta-regression; how to ex…
Partial least squares structural equation modelling (PLS-SEM) is becoming a popular statistical framework in many fields and disciplines of the social sciences. The main reason for this popularity is that PLS-SEM can be used to estimate models including latent variables, observe…
After reviewing the linear regression model and introducing maximum likelihood estimation, Long extends the binary logit and probit models, presents multinomial and conditioned logit models and describes models for sample selection bias.
Alan C. Acock s A Gentle Introduction to Stata, Fourth Edition is aimed at new Stata users who want to become proficient in Stata. After reading this introductory text, new users will not only be able to use Stata well but will also learn new aspects of Stata. Acock assumes that…
"The second edition of this book contains several new recipes illustrating how do-files, ado-files, and Mata functions can be used to solve programming problems. Several recipes have also been updated to reflect new features in Stata added between versions 10 and 14. The discuss…
With over 900 illustrated examples and quick-reference tabs, this guide shows you how to create and customize graphs for any type of statistical data using either Stata commands or the Graph Editor. The author displays each graph example in full color with simple and clear instr…