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Applied logistic regression

... CONTENTS -- 1 Introduction to the Logistic Regression Model -- 1.1 Introduction, 1 -- 1.2 Fitting the ... ... Logistic Regression Model, 7 -- 1.3 Testing for the Significance of the Coefficients, 11 -- 1.4 Confidence ... ... -- 2.1 Introduction, 31 -- 2.2 The Multiple Logistic Regression Model, 31 -- 2.3 Fitting the Multiple ... ... Logistic Regression Model, 33 -- 2.4 Testing for the Significance of the Model, 36 -- 2.5 Confidence ... ... Methods for Logistic Regression Models, 330 -- 8.5 Sample Size Issues When Fitting Logistic Regression ...

New York : John Wiley & Sons, c2000

Wiley series in probability and statistics

2nd ed. xii, 375 s.

Applied survival analysis : regression modeling of time-to-event data

... Contents -- Preface xi -- 1 Introduction to Regression Modeling of Survival Data 1 -- 1.1 Introduction ... ... Regression Models for Survival Data 67 -- 3.1 Introduction, 67 -- 3.2 Semi-Parametric Regression Models ... ... Parametric Regression Models 244 -- 8.1 Introduction, 244 -- 8.2 The Exponential Regression Model, 246 ... ... -- 8.3 The Weibull Regression Model, 260 -- 8.4 The Log-Logistic Regression Model, 273 -- 8.5 Other ... ... Parametric Regression Models, 283 Exercises, 283 -- 9. ...

Hoboken : Wiley-Interscience, 2008

Wiley series in probability and statistics

Second edition xiii, 392 stran : ilustrace, tabulky, grafy ; 24 cm.

Syndrom kaudální regrese
[Caudal regression syndrome]
. 2001 ; Roč. 55 (č. 2) : s. 84-88.