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PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Seller Inventory # L0-9783639074321
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Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
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Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Seller: Books Puddle, New York, NY, U.S.A.
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Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - When continuous predictors are present, classicalPearson and deviance goodness-of-fit tests to assesslogistic model fit break down. We propose a newmethod for goodness-of-fit testing which uses a verygeneral partitioning strategy (clustering) in thecovariate space and is based on either a Pearsonstatistic or a score statistic. Properties of theproposed statistics are discussed. Simulationstudies on many commonly encountered model scenariosare presented to compare the proposed tests to theexisting tests. Applications of these differentmethods on a real clinical trial study are alsoperformed to demonstrate the usefulness of the newmethod in practice and certain advantages over thewidely used Hosmer-Lemeshow test. Discussions onextending this new method to other data situations,such as ordinal response regression models andmarginal models for correlated binary data are alsoincluded. This method can also be extended to modelsfor multinomial outcomes where generalized logitmodels are often used. Seller Inventory # 9783639074321
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Condition: New. Print on Demand pp. 172 23:B&W 6 x 9 in or 229 x 152 mm Perfect Bound on White w/Gloss Lam. Seller Inventory # 131382692
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