Logistic Regression (Registro nro. 199303)

MARC details
000 -LÍDER
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001 - NÚMERO DE CONTROL
control field u371423
003 - IDENTIFICADOR DEL NÚMERO DE CONTROL
control field SIRSI
005 - FECHA Y HORA DE LA ULTIMA TRANSACCIÓN
control field 20160812080128.0
007 - CAMPO FIJO DE DESCRIPCIÓN FIJA--INFORMACIÓN GENERAL
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008 - ELEMENTOS DE LONGITUD FIJA -- INFORMACIÓN GENERAL
fixed length control field 100623s2010 xxu| s |||| 0|eng d
020 ## - NÚMERO INTERNACIONAL NORMALIZADO PARA LIBROS
International Standard Book Number 9781441917423
-- 978-1-4419-1742-3
040 ## - FUENTE DE CATALOGACIÓN
Transcribing agency MX-MeUAM
050 #4 - SIGNATURA TOPOGRÁFICA DE LA BIBLIOTECA DEL CONGRESO
Classification number QA276-280
082 04 - NÚMERO DE CLASIFICACIÓN DECIMAL DEWEY
Classification number 519.5
Edition number 23
100 1# - ASIENTO PRINCIPAL--NOMBRE PERSONAL
Personal name Kleinbaum, David G.
Relator term author.
245 10 - MENCIÓN DE TITULO
Title Logistic Regression
Medium [recurso electrónico] :
Remainder of title A Self-Learning Text /
Statement of responsibility, etc. by David G. Kleinbaum, Mitchel Klein.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture New York, NY :
Name of producer, publisher, distributor, manufacturer Springer New York,
Date of production, publication, distribution, manufacture, or copyright notice 2010.
300 ## - DESCRIPCIÓN FÍSICA
Extent XIV, 616p.
Other physical details online resource.
336 ## - CONTENT TYPE
Content type term text
Content type code txt
Source rdacontent
337 ## - MEDIA TYPE
Media type term computer
Media type code c
Source rdamedia
338 ## - CARRIER TYPE
Carrier type term online resource
Carrier type code cr
Source rdacarrier
347 ## - DIGITAL FILE CHARACTERISTICS
File type text file
Encoding format PDF
Source rda
490 1# - MENCIÓN DE SERIE
Series statement Statistics for Biology and Health,
International Standard Serial Number 1431-8776
505 0# - NOTA DE CONTENIDO
Formatted contents note to Logistic Regression -- Important Special Cases of the Logistic Model -- Computing the Odds Ratio in Logistic Regression -- Maximum Likelihood Techniques: An Overview -- Statistical Inferences Using Maximum Likelihood Techniques -- Modeling Strategy Guidelines -- Modeling Strategy for Assessing Interaction and Confounding -- Additional Modeling Strategy Issues -- Assessing Goodness of Fit for Logistic Regression -- Assessing Discriminatory Performance of a Binary Logistic Model: ROC Curves -- Analysis of Matched Data Using Logistic Regression -- Polytomous Logistic Regression -- Ordinal Logistic Regression -- Logistic Regression for Correlated Data: GEE -- GEE Examples -- Other Approaches for Analysis of Correlated Data.
520 ## - NOTA DE RESUMEN, ETC.
Summary, etc. This very popular textbook is now in its third edition. Whether students or working professionals, readers appreciate its unique "lecture book" format. They often say the book reads like they are listening to an outstanding lecturer. This edition includes three new chapters, an updated computer appendix, and an expanded section about modeling guidelines that consider causal diagrams. Like previous editions, this textbook provides a highly readable description of fundamental and more advanced concepts and methods of logistic regression. It is suitable for researchers and statisticians in medical and other life sciences as well as academicians teaching second-level regression methods courses. The new chapters are: • Additional Modeling Strategy Issues, including strategy with several exposures, screening variables, collinearity, influential observations and multiple-testing • Assessing Goodness to Fit for Logistic Regression • Assessing Discriminatory Performance of a Binary Logistic Model: ROC Curves The Computer Appendix provides step-by-step instructions for using STATA (version 10.0), SAS (version 9.2), and SPSS (version 16) for procedures described in the main text. David Kleinbaum is Professor of Epidemiology at Emory University Rollins School of Public Health in Atlanta, Georgia. Dr. Kleinbaum is internationally known for his innovative textbooks and teaching on epidemiological methods, multiple linear regression, logistic regression, and survival analysis. He has taught more than 200 courses worldwide. The recipient of numerous teaching awards, he received the first Association of Schools of Public Health Pfizer Award for Distinguished Career Teaching in 2005. Mitchel Klein is Research Assistant Professor with a joint appointment in the Environmental and Occupational Health Department and the Epidemiology Department at Emory University Rollins School of Public Health. He has successfully designed and taught epidemiologic methods physicians at Emory’s Master of Science in Clinical Research Program. Dr. Klein is co-author with Dr. Kleinbaum of the second edition of Survival Analysis-A Self-Learning Text.
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650 #0 - ASIENTO SECUNDARIO DE MATERIA - TERMINO TEMÁTICO
Topical term or geographic name as entry element Statistics.
650 #0 - ASIENTO SECUNDARIO DE MATERIA - TERMINO TEMÁTICO
Topical term or geographic name as entry element Epidemiology.
650 14 - ASIENTO SECUNDARIO DE MATERIA - TERMINO TEMÁTICO
Topical term or geographic name as entry element Statistics.
650 24 - ASIENTO SECUNDARIO DE MATERIA - TERMINO TEMÁTICO
Topical term or geographic name as entry element Statistics for Life Sciences, Medicine, Health Sciences.
650 24 - ASIENTO SECUNDARIO DE MATERIA - TERMINO TEMÁTICO
Topical term or geographic name as entry element Epidemiology.
650 24 - ASIENTO SECUNDARIO DE MATERIA - TERMINO TEMÁTICO
Topical term or geographic name as entry element Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law.
700 1# - ASIENTO SECUNDARIO - NOMBRE PERSONAL
Personal name Klein, Mitchel.
Relator term author.
710 2# - ASIENTO SECUNDARIO - NOMBRE CORPORATIVO
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer eBooks
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9781441917416
830 #0 - ASIENTO SECUNDARIO DE SERIE--TITULO UNIFORME
Uniform title Statistics for Biology and Health,
International Standard Serial Number 1431-8776
856 40 - LOCALIZACIÓN Y ACCESO ELECTRÓNICOS
Public note Libro electrónico
Uniform Resource Identifier <a href="http://148.231.10.114:2048/login?url=http://link.springer.com/book/10.1007/978-1-4419-1742-3">http://148.231.10.114:2048/login?url=http://link.springer.com/book/10.1007/978-1-4419-1742-3</a>
942 ## - TIPO DE MATERIAL (KOHA)
Koha item type Libro Electrónico
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    Colección de Libros Electrónicos Biblioteca Electrónica Biblioteca Electrónica     QA276 -280 371423-2001 12/08/2016 1 Libro Electrónico

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