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Logistic Regression: A Self-Learning Text
Bibliografi
Author:
Kleinbaum, David G.
;
Klein, Mitchel
Topik:
MEDICAL RESEARCH
;
MEDICAL STATISTICS
;
REGRESSION ANALYSIS
Bahasa:
(EN )
ISBN:
0-387-95397-3
Edisi:
2
Penerbit:
Springer
Tempat Terbit:
New York
Tahun Terbit:
2002
Jenis:
Books
Fulltext:
Logistic Regression_ A Self-Learning Text (2nd Edition)-David G. Kleinbaum, Mitchell Klein.pdf
(2.63MB;
1 download
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Cover.pdf
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Copyrights.pdf
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Dedication.pdf
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Preface.pdf
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Acknowledgments.pdf
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Contents.pdf
(61.62KB;
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Chapter 1 Introduction to Logistic Regression.pdf
(285.61KB;
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Chapter 2 Important Special Cases of the Logistic Model.pdf
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Chapter 3 Computing the Odds Ratio in Logistic Regression.pdf
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Chapter 4 Maximum Likelihood Techniques; An Overview.pdf
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Chapter 5 Statistical Inferences Using Maximum Likelihood Techniques.pdf
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Chapter 6 Modeling Strategy Guidelines.pdf
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Chapter 7 Modeling Strategy for Assessing Interaction and Confounding.pdf
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Chapter 8 Analysis of Matched Data Using Logistic Regression.pdf
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Chapter 9 Polytomous Logistic Regression.pdf
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Chapter 10 Ordinal Logistic Regression.pdf
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Chapter 11 Logistic Regresion for Correlated Data; GEE.pdf
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Chapter 12 GEE Examples.pdf
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Chapter 13 Other Approaches for Analysis of Correlated Data.pdf
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Appendix.pdf
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Test Answers.pdf
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Index.pdf
(81.06KB;
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