Regression modeling strategies: with applications to linear models, logistic and ordinal regression, and survival analysis
Saved in:
| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Cham ; Heidelberg ; New York ; Dordrecht ; London
Springer
[2015]
|
| Edition: | Second edition |
| Series: | Springer series in statistics
|
| Subjects: | |
| Online Access: | FUBA1 UBY01 Volltext Inhaltsverzeichnis Abstract |
| Physical Description: | 1 Online-Ressource (xxv, 582 Seiten) Illustrationen, Diagramme |
| ISBN: | 9783319194257 |
| DOI: | 10.1007/978-3-319-19425-7 |
Staff View
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| 245 | 1 | 0 | |a Regression modeling strategies |b with applications to linear models, logistic and ordinal regression, and survival analysis |c Frank E. Harrell, Jr. |
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Record in the Search Index
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| adam_text | REGRESSION MODELING STRATEGIES
/ HARRELL , JR., FRANK E.
: 2015
TABLE OF CONTENTS / INHALTSVERZEICHNIS
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.-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.
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
REGRESSION MODELING STRATEGIES
/ HARRELL , JR., FRANK E.
: 2015
ABSTRACT / INHALTSTEXT
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. THE READER WILL GAIN A
KEEN UNDERSTANDING OF PREDICTIVE ACCURACY, AND THE HARM OF CATEGORIZING
CONTINUOUS PREDICTORS OR OUTCOMES. 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. 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
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
|
| any_adam_object | 1 |
| author | Harrell, Frank E. |
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| discipline | Soziologie Mathematik |
| doi_str_mv | 10.1007/978-3-319-19425-7 |
| edition | Second edition |
| format | Electronic eBook |
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| spelling | Harrell, Frank E. Verfasser (DE-588)1076580009 aut Regression modeling strategies with applications to linear models, logistic and ordinal regression, and survival analysis Frank E. Harrell, Jr. Second edition Cham ; Heidelberg ; New York ; Dordrecht ; London Springer [2015] © 2015 1 Online-Ressource (xxv, 582 Seiten) Illustrationen, Diagramme txt rdacontent c rdamedia cr rdacarrier Springer series in statistics Statistics Mathematical statistics Statistical Theory and Methods Statistics for Life Sciences, Medicine, Health Sciences Statistics and Computing/Statistics Programs Statistik Regressionsmodell (DE-588)4127980-3 gnd rswk-swf Regressionsmodell (DE-588)4127980-3 s DE-604 Erscheint auch als Druck-Ausgabe, Hardcover 978-3-319-19424-0 (DE-604)BV042771462 Erscheint auch als Druck-Ausgabe, Paperback 978-3-319-33039-6 https://doi.org/10.1007/978-3-319-19425-7 Verlag URL des Erstveröffentlichers Volltext Springer Fremddatenuebernahme application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028218295&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis Springer Fremddatenuebernahme application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028218295&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA Abstract |
| spellingShingle | Harrell, Frank E. Regression modeling strategies with applications to linear models, logistic and ordinal regression, and survival analysis Statistics Mathematical statistics Statistical Theory and Methods Statistics for Life Sciences, Medicine, Health Sciences Statistics and Computing/Statistics Programs Statistik Regressionsmodell (DE-588)4127980-3 gnd |
| subject_GND | (DE-588)4127980-3 |
| title | Regression modeling strategies with applications to linear models, logistic and ordinal regression, and survival analysis |
| title_auth | Regression modeling strategies with applications to linear models, logistic and ordinal regression, and survival analysis |
| title_exact_search | Regression modeling strategies with applications to linear models, logistic and ordinal regression, and survival analysis |
| title_full | Regression modeling strategies with applications to linear models, logistic and ordinal regression, and survival analysis Frank E. Harrell, Jr. |
| title_fullStr | Regression modeling strategies with applications to linear models, logistic and ordinal regression, and survival analysis Frank E. Harrell, Jr. |
| title_full_unstemmed | Regression modeling strategies with applications to linear models, logistic and ordinal regression, and survival analysis Frank E. Harrell, Jr. |
| title_short | Regression modeling strategies |
| title_sort | regression modeling strategies with applications to linear models logistic and ordinal regression and survival analysis |
| title_sub | with applications to linear models, logistic and ordinal regression, and survival analysis |
| topic | Statistics Mathematical statistics Statistical Theory and Methods Statistics for Life Sciences, Medicine, Health Sciences Statistics and Computing/Statistics Programs Statistik Regressionsmodell (DE-588)4127980-3 gnd |
| topic_facet | Statistics Mathematical statistics Statistical Theory and Methods Statistics for Life Sciences, Medicine, Health Sciences Statistics and Computing/Statistics Programs Statistik Regressionsmodell |
| url | https://doi.org/10.1007/978-3-319-19425-7 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028218295&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028218295&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA |
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