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Logistic Regression: A Self-Learning Text

Logistic Regression: A Self-Learning Text

Autorzy
Wydawnictwo Springer, Berlin
Data wydania
Liczba stron 702
Forma publikacji książka w miękkiej oprawie
Język angielski
ISBN 9781493936977
Kategorie Prawdopodobieństwo i statystyka
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Opis książki

This highly readable book describes fundamental and advanced concepts and methods of logistic regression. The 3rd edition includes three new chapters, an updated computer appendix, and an expanded section on modeling guidelines that consider causal diagrams.

Logistic Regression: A Self-Learning Text

Spis treści

to Logistic Regression.- Important Special Cases of the Logistic Model.- Computing the Odds Ratio in Logistic Regression.- Maximum Likelihood Techniques: An Overview.- Statistical Inferences Using Maximum Likelihood Techniques.- Modeling Strategy Guidelines.- Modeling Strategy for Assessing Interaction and Confounding.- Additional Modeling Strategy Issues.- Assessing Goodness of Fit for Logistic Regression.- Assessing Discriminatory Performance of a Binary Logistic Model: ROC Curves.- Analysis of Matched Data Using Logistic Regression.- Polytomous Logistic Regression.- Ordinal Logistic Regression.- Logistic Regression for Correlated Data: GEE.- GEE Examples.- Other Approaches for Analysis of Correlated Data.

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