Logistic Regression with Missing Values in the Covariates - Couverture souple

Vach, Werner

Couverture souple

ISBN 10 : 0387942637 ISBN 13 : 9780387942636

Editeur : Springer New York, 1994

Synopsis

In many areas of science a basic task is to assess the influence of several factors on a quantity of interest. If this quantity is binary logistic, regression models provide a powerful tool for this purpose. This monograph presents an account of the use of logistic regression in the case where missing values in the variables prevent the use of standard techniques. Such situations occur frequently across a wide range of statistical applications.
The emphasis of this book is on methods related to the classical maximum likelihood principle. The author reviews the essentials of logistic regression and discusses the variety of mechanisms which might cause missing values while the rest of the book covers the methods which may be used to deal with missing values and their effectiveness. Researchers across a range of disciplines and graduate students in statistics and biostatistics will find this a readable account of this.

Détails de l'édition

• Éditeur: Springer New York
• Date d'édition: 1994
• Langue: anglais
• ISBN 10: 0387942637
• ISBN 13: 9780387942636
• Reliure: Broché
• Nombre de pages: 158
• Coordonnées du fabricant: Springer Nature Customer Service Center GmbH; ProductSafety@springernature.com; ; Europaplatz 3; Heidelberg; 69115; Allemagne