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Logistic regression with missing values in the covariates
Overview of attention for book
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
Overall attention for this book and its chapters
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Mentioned by
syllabi
1
institution with syllabi
Citations
dimensions_citation
60
Dimensions
Book overview
1. Introduction
2. The Complete Data Case
3. Missing Value Mechanisms
4. Estimation Methods
5. Quantitative Comparisons: Asymptotic Results
6. Quantitative Comparisons: Results of Finite Sample Size Simulation Studies
7. Examples
8. Sensitivity Analysis
9. General Regression Models with Missing Values in One of Two Covariates
10. Generalizations for More Than two Covariates
11. Missing Values and Subsampling
12. Further Examples
13. Discussion
Summary
Syllabi
Dimensions citations
This data is correct as of December 2015 - for more up to date information, please visit
https://opensyllabus.org/
So far, Altmetric has seen this research output assigned in
2
syllabi from
1
institutions on Open Syllabus Project.
Institution
Syllabi count
Course subject areas covered
University of Houston
2
Unknown