Buy it now
Buying options
Tax calculation will be finalised at checkout
Other ways to access
This is a preview of subscription content, log in via an institution to check for access.
Table of contents (13 chapters)
-
Front Matter
-
Logistic Regression With Two Categorical Covariates
-
Logistic Regression With Two Categorical Covariates
-
Back Matter
About this book
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.
Authors and Affiliations
-
Institut für Medizinische Biometrie Abteilung Medizinische Biometrie und Statistik, Klinikum der Albert-Ludwigs-Universität, Frieburg, Germany
Werner Vach
Bibliographic Information
Book Title: Logistic Regression with Missing Values in the Covariates
Authors: Werner Vach
Series Title: Lecture Notes in Statistics
DOI: https://doi.org/10.1007/978-1-4612-2650-5
Publisher: Springer New York, NY
-
eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag New York, Inc. 1994
Softcover ISBN: 978-0-387-94263-6
eBook ISBN: 978-1-4612-2650-5
Series ISSN: 0930-0325
Series E-ISSN: 2197-7186
Edition Number: 1
Number of Pages: IX, 139
Topics: Mathematics, general, Statistics for Life Sciences, Medicine, Health Sciences