Detalles MARC
| 000 -LEADER |
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| fixed length control field |
04996nam a2200349 a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
co-ctgiumayor |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20240708115517.0 |
| 006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS |
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| fixed length control field |
m d |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION |
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| fixed length control field |
cr cnu---uuuuu |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
150814s2015 s 000 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9783319194257 |
| 040 ## - CATALOGING SOURCE |
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| Original cataloging agency |
CO-CtgIUMC |
| Language of cataloging |
spa |
| Transcribing agency |
coctgiumc |
| Modifying agency |
rda |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
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| Classification number |
519.5 |
| Item number |
H296 |
| Edition number |
23 |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Harrell, Jr., Frank E., |
| Relator term |
autor. |
| 245 10 - TITLE STATEMENT |
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| Title |
Regression Modeling Strategies |
| Medium |
[electronic resource] : |
| Remainder of title |
With Applications to Linear Models, Logistic and Ordinal Regression, and Survival Analysis / |
| Statement of responsibility, etc. |
by Frank E. Harrell , Jr. |
| 250 ## - EDITION STATEMENT |
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| Edition statement |
Segunda edicion. |
| 264 #4 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
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| Place of production, publication, distribution, manufacture |
Cham : : |
| Name of producer, publisher, distributor, manufacturer |
Springer International Publishing : : |
| -- |
Imprint: Springer,, |
| Date of production, publication, distribution, manufacture, or copyright notice |
2015 |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
|---|
| Date of production, publication, distribution, manufacture, or copyright notice |
2015 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
XXV, 582 páginas. 157 illus., 53 illus. in color. : |
| Other physical details |
online resource. |
| 336 ## - CONTENT TYPE |
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| Content type term |
texto |
| Content type code |
txt |
| Source |
rdacontent |
| 337 ## - MEDIA TYPE |
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| Media type term |
computador |
| Media type code |
c |
| Source |
rdamedia |
| 338 ## - CARRIER TYPE |
|---|
| Carrier type term |
recurso en línea |
| Carrier type code |
cr |
| Source |
rdacarrier |
| 490 1# - SERIES STATEMENT |
|---|
| Series statement |
Springer Series in Statistics, |
| International Standard Serial Number |
0172-7397 |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
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| Bibliography, etc. note |
Incluye referencias bibliográficas e índice. |
| 505 0# - FORMATTED CONTENTS NOTE |
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| Formatted contents note |
Introduction -- General Aspects of Fitting Regression Models -- Missing Data -- Multivariable Modeling Strategies -- Describing, Resampling, Validating and Simplifying the Model -- R Software -- Modeling Longitudinal Responses using Generalized Least Squares -- Case Study in Data Reduction -- Overview of Maximum Likelihood Estimation -- Binary Logistic Regression -- Binary Logistic Regression Case Study 1 -- Logistic Model Case Study 2: Survival of Titanic Passengers -- Ordinal Logistic Regression -- Case Study in Ordinal Regression, Data Reduction and Penalization.-{phono} Regression Models for Continuous Y and Case Study in Ordinal Regression -- Transform-Both-Sides Regression -- Introduction to Survival Analysis -- Parametric Survival Models -- Case Study in Parametric Survival Modeling and Model Approximation -- Cox Proportional Hazards Regression Model -- Case Study in Cox Regression -- Appendix.{phono} {phono} {phono}. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
This highly anticipated second edition features new chapters and sections, 225 new references, and comprehensive R software. In keeping with the previous edition, this book is about the art and science of data analysis and predictive modeling, which entails choosing and using multiple tools. Instead of presenting isolated techniques, this text emphasizes problem solving strategies that address the many issues arising when developing multivariable models using real data and not standard textbook examples. It includes imputation methods for dealing with missing data effectively, methods for fitting nonlinear relationships and for making the estimation of transformations a formal part of the modeling process, methods for dealing with "too many variables to analyze and not enough observations," and powerful model validation techniques based on the bootstrap.{phono} The reader will gain a keen understanding of predictive accuracy, and the harm of categorizing continuous predictors or outcomes.{phono} This text realistically deals with model uncertainty, and its effects on inference, to achieve "safe data mining." It also presents many graphical methods for communicating complex regression models to non-statisticians. Regression Modeling Strategies presents full-scale case studies of non-trivial datasets instead of over-simplified illustrations of each method. These case studies use freely available R functions that make the multiple imputation, model building, validation, and interpretation tasks described in the book relatively easy to do. Most of the methods in this text apply to all regression models, but special emphasis is given to multiple regression using generalized least squares for longitudinal data, the binary logistic model, models for ordinal responses, parametric survival regression models, and the Cox semiparametric survival model.{phono} A new emphasis is given to the robust analysis of continuous dependent variables using ordinal regression. As in the first edition, this text is intended for Masters' or Ph.D. level graduate students who have had a general introductory probability and statistics course and who are well versed in ordinary multiple regression and intermediate algebra. The book will also serve as a reference for data analysts and statistical methodologists, as it contains an up-to-date survey and bibliography of modern statistical modeling techniques. Examples used in the text mostly come from biomedical research, but the methods are applicable anywhere predictive models ("analytics") are useful, including economics, epidemiology, sociology, psychology, engineering, and marketing. |
| 533 ## - REPRODUCTION NOTE |
|---|
| Type of reproduction |
Electronic resource. |
| Place of reproduction |
Dordrecht : |
| Agency responsible for reproduction |
Springer Netherlands, |
| Date of reproduction |
2015. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Estadística. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Estadística matemática. |
| 856 ## - ELECTRONIC LOCATION AND ACCESS |
|---|
| Uniform Resource Identifier |
<a href="https://drive.google.com/file/d/1eeoL-HTgDZmLfs5_d7Ekhj5g6gAq9_AV/view?usp=sharing">https://drive.google.com/file/d/1eeoL-HTgDZmLfs5_d7Ekhj5g6gAq9_AV/view?usp=sharing</a> |
| Public note |
Dar click aqui para ver texto completo |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Koha item type |
Libros electrónicos |
| Source of classification or shelving scheme |
Dewey Decimal Classification |
