A Practical Guide to Logistic Regression Using Stata

Lingua: inglese

Editore: Stata Press Mai 2026, 2026

1597184152 / 9781597184151

Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH

Venditore con 5 stelle

Venditore AbeBooks dal 14 agosto 2006

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Descrizione dell’articolo da parte del venditore

Neuware - Alan Acock's book, A Practical Guide to Logistic Regression Using Stata, is written for students and researchers who are new to logistic regression and who want to focus on applications rather than theory. This guide teaches when and why logistic regression is appropriate, how to easily fit these models by using Stata, and how to interpret and present the results.The book begins with a review of OLS regression and an introduction to the concepts of logistic regression. It compares and contrasts these two methods and explains why logistic regression is usually the better approach to modeling binary outcome data. Along the way, readers will learn about parameter estimation for logistic regression models.The author then turns his attention to interpreting the models and assessing model fit. The book demonstrates how to transform the coefficients into more interpretable odds ratios and how to estimate relative risks when appropriate. Acock next explains tools such as the pseudo-R , likelihood-ratio tests, Akaike's information criterion (AIC), and Schwarz's Bayesian information criterion (BIC) and shows how to use these tools to assess the fit of the model to the data.Subsequent chapters focus on assessing a model's predictive utility using sensitivity, specificity, and receiver operating characteristic (ROC) curves. These concepts are explained clearly and demonstrated with practical examples.The book concludes with a detailed discussion of how to build models with different kinds of predictor variables, how to use Stata's margins command to transform the model coefficients to predicted probabilities, and how to use marginsplot to create easily interpretable visualizations of the results. The author includes many examples using continuous and categorical predictors, illustrates various interactions between different predictor variables, and explains complications that may arise, such as multicollinearity.A Practical Guide to Logistic Regression Using Stata provides a comprehensive, applications-oriented introduction to modeling binary outcomes using logistic regression. Readers at all levels will learn the skills to confidently fit, assess, interpret, and visualize these models using their own data.…

Codice articolo 9781597184151

Titolo
A Practical Guide to Logistic Regression Using Stata
Autore
Alan C. Acock
Editore
Stata Press Mai 2026
Anno di pubblicazione
2026
Condizione
Neu
Rilegatura
Taschenbuch
Lingua
inglese
ISBN 10
1597184152
ISBN 13
9781597184151
Peso dell'articolo
412 grammi
Dimensioni
241x184x22 mm

AHA-BUCH GmbH

Einbeck, Germania

Venditore con 5 stelle

Venditore AbeBooks dal 14 agosto 2006

Tariffe di spedizione da Germania a U.S.A.

ArticoloDa 7 a 10 giorni lavorativiDa 5 a 7 giorni lavorativi
Primo articoloEUR 35,00EUR 45,00
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