Logistic Regression with Missing Values in the Covariates: 86 (Lecture Notes in Statistics, 86) - Softcover
Synopsis
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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Logistic Regression with Missing Values in the Covariates (Lecture Notes in Statistics)
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Logistic Regression with Missing Values in the Covariates (Lecture Notes in Statistics, 86)
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Logistic Regression with Missing Values in the Covariates (Lecture Notes in Statistics, 86)
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Logistic Regression with Missing Values in the Covariates (Lecture Notes in Statistics)
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Logistic Regression with Missing Values in the Covariates
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Logistic Regression with Missing Values in the Covariates
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Springer, Springer Apr 1994, 1994
ISBN 10: 0387942637
ISBN 13: 9780387942636
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 156 pp. Englisch. Seller Inventory # 9780387942636
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Logistic Regression with Missing Values in the Covariates
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ISBN 10: 0387942637
ISBN 13: 9780387942636
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Logistic Regression With Missing Values in the Covariates
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Logistic Regression with Missing Values in the Covariates
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