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Logistic regression with missing values in the covariates

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Cover of 'Logistic regression with missing values in the covariates'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 The Complete Data Case
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    Chapter 3 Missing Value Mechanisms
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    Chapter 4 Estimation Methods
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    Chapter 5 Quantitative Comparisons: Asymptotic Results
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    Chapter 6 Quantitative Comparisons: Results of Finite Sample Size Simulation Studies
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    Chapter 7 Examples
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    Chapter 8 Sensitivity Analysis
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    Chapter 9 General Regression Models with Missing Values in One of Two Covariates
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    Chapter 10 Generalizations for More Than two Covariates
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    Chapter 11 Missing Values and Subsampling
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    Chapter 12 Further Examples
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    Chapter 13 Discussion
Attention for Chapter 11: Missing Values and Subsampling
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Chapter title
Missing Values and Subsampling
Chapter number 11
Book title
Logistic Regression with Missing Values in the Covariates
Published by
Springer, New York, NY, January 1994
DOI 10.1007/978-1-4612-2650-5_11
Book ISBNs
978-0-387-94263-6, 978-1-4612-2650-5
Authors

Werner Vach

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