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Conditional Logistic Regression for Matched Data HRP 261 02/25/04 reading: Agresti chapter 9.2
Agresti/Franklin Statistics, 1 of 56 Section 4.3 What Are Good Ways and Poor Ways to Experiment?
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the silent way by Meiry agresti part 1
AGRESTI AMATO - ipsiasar.it
Analysis of matched data HRP 261 02/02/04 Chapter 9 Agresti – read sections 9.1 and 9.2
Agresti/Franklin Statistics, 1 of 62 Chapter 14 Nonparametric Statistics Learn …. About Nonparametric Statistical Methods
Maddalena Mantovani , Juri Agresti, Erika D’Ambrosio, Riccardo De Salvo, Barbara Simoni
Logistic Regression I HRP 261 2/09/04 Related reading: chapters 4.1-4.2 and 5.1-5.5 of Agresti
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Agresti/Franklin Statistics, 1 of 90 Section 10.2 How Can We Test whether Categorical Variables are Independent?
NOMINAL RESPONSES: BASELINE-CATEGORY LOGIT MODELS (Agresti 7.1)
Categorical Data Analysis Selected Solutions by Agresti
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Abbott, R.; Adhikari, R.; Ageev, A.; Agresti, J
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ASTA 1.9 Agresti: Overviewoft-test 1.10 Significancetestforproportion • Considerasampleofsizen,whereweobservewhetheragivenpropertyispresentornot
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Alan Agresti · Foundations of Linear and Generalized Linear Models Wiley Series in Probability and Statistics Alan Agresti
the silent way by Meiry agresti part 2
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Agresti/Franklin Statistics, 1 of 63 Section 2.4 How Can We Describe the Spread of Quantitative Data?
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Agresti/Franklin Statistics, 1 of 106 Section 9.4 How Can We Analyze Dependent Samples?
