Logistic Regression with Missing Values in the Covariates:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
New York, NY
Springer New York
1994
|
| Schriftenreihe: | Lecture Notes in Statistics
86 |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Beschreibung: | 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 |
| Beschreibung: | 1 Online-Ressource (IX, 139p) |
| ISBN: | 9781461226505 9780387942636 |
| ISSN: | 0930-0325 |
| DOI: | 10.1007/978-1-4612-2650-5 |
Internformat
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| 500 | |a 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 | ||
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Datensatz im Suchindex
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| discipline | Mathematik |
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| spelling | Vach, Werner Verfasser (DE-588)111242738 aut Logistic Regression with Missing Values in the Covariates by Werner Vach New York, NY Springer New York 1994 1 Online-Ressource (IX, 139p) txt rdacontent c rdamedia cr rdacarrier Lecture Notes in Statistics 86 0930-0325 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 Mathematics Statistics Mathematics, general Statistics for Life Sciences, Medicine, Health Sciences Mathematik Statistik Unvollkommene Information (DE-588)4140474-9 gnd rswk-swf Regressionsmodell (DE-588)4127980-3 gnd rswk-swf Regressionsanalyse (DE-588)4129903-6 gnd rswk-swf Fehlende Daten (DE-588)4264715-0 gnd rswk-swf Schätztheorie (DE-588)4121608-8 gnd rswk-swf Logistische Verteilung (DE-588)4299453-6 gnd rswk-swf 1\p (DE-588)4113937-9 Hochschulschrift gnd-content Logistische Verteilung (DE-588)4299453-6 s Regressionsanalyse (DE-588)4129903-6 s Fehlende Daten (DE-588)4264715-0 s 2\p DE-604 Regressionsmodell (DE-588)4127980-3 s 3\p DE-604 Unvollkommene Information (DE-588)4140474-9 s 4\p DE-604 Schätztheorie (DE-588)4121608-8 s 5\p DE-604 https://doi.org/10.1007/978-1-4612-2650-5 Verlag Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 3\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 4\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 5\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Vach, Werner Logistic Regression with Missing Values in the Covariates Mathematics Statistics Mathematics, general Statistics for Life Sciences, Medicine, Health Sciences Mathematik Statistik Unvollkommene Information (DE-588)4140474-9 gnd Regressionsmodell (DE-588)4127980-3 gnd Regressionsanalyse (DE-588)4129903-6 gnd Fehlende Daten (DE-588)4264715-0 gnd Schätztheorie (DE-588)4121608-8 gnd Logistische Verteilung (DE-588)4299453-6 gnd |
| subject_GND | (DE-588)4140474-9 (DE-588)4127980-3 (DE-588)4129903-6 (DE-588)4264715-0 (DE-588)4121608-8 (DE-588)4299453-6 (DE-588)4113937-9 |
| title | Logistic Regression with Missing Values in the Covariates |
| title_auth | Logistic Regression with Missing Values in the Covariates |
| title_exact_search | Logistic Regression with Missing Values in the Covariates |
| title_full | Logistic Regression with Missing Values in the Covariates by Werner Vach |
| title_fullStr | Logistic Regression with Missing Values in the Covariates by Werner Vach |
| title_full_unstemmed | Logistic Regression with Missing Values in the Covariates by Werner Vach |
| title_short | Logistic Regression with Missing Values in the Covariates |
| title_sort | logistic regression with missing values in the covariates |
| topic | Mathematics Statistics Mathematics, general Statistics for Life Sciences, Medicine, Health Sciences Mathematik Statistik Unvollkommene Information (DE-588)4140474-9 gnd Regressionsmodell (DE-588)4127980-3 gnd Regressionsanalyse (DE-588)4129903-6 gnd Fehlende Daten (DE-588)4264715-0 gnd Schätztheorie (DE-588)4121608-8 gnd Logistische Verteilung (DE-588)4299453-6 gnd |
| topic_facet | Mathematics Statistics Mathematics, general Statistics for Life Sciences, Medicine, Health Sciences Mathematik Statistik Unvollkommene Information Regressionsmodell Regressionsanalyse Fehlende Daten Schätztheorie Logistische Verteilung Hochschulschrift |
| url | https://doi.org/10.1007/978-1-4612-2650-5 |
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