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Da: Brook Bookstore On Demand, Napoli, NA, Italia
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Da: GreatBookPrices, Columbia, MD, U.S.A.
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Da: GreatBookPrices, Columbia, MD, U.S.A.
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 118,92
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
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EUR 126,83
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Aggiungi al carrelloCondizione: New. pp. xvii + 303 Illus.
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
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Aggiungi al carrelloHardback. Condizione: New. New copy - Usually dispatched within 4 working days.
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
Prima edizione
EUR 149,14
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Aggiungi al carrelloCondizione: New. Multivariable regression models are of fundamental importance in all areas of science in which empirical data must be analyzed. This book proposes a systematic approach to building such models based on standard principles of statistical modeling. Series: Wiley Series in Probability and Statistics. Num Pages: 322 pages, Illustrations. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 249 x 175 x 23. Weight in Grams: 690. . 2008. 1st Edition. Hardcover. . . . .
Condizione: New. pp. xvii + 303.
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Aggiungi al carrelloCondizione: New. Multivariable regression models are widely used in all areas of science in which empirical data are analysed. Using the multivariable fractional polynomials (MFP) approach this book focuses on the selection of important variables and the determination of fu.
Da: Revaluation Books, Exeter, Regno Unito
EUR 178,62
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Aggiungi al carrelloHardcover. Condizione: Brand New. 1st edition. 322 pages. 9.50x6.50x1.00 inches. In Stock.
Da: Kennys Bookstore, Olney, MD, U.S.A.
EUR 187,50
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Aggiungi al carrelloCondizione: New. Multivariable regression models are of fundamental importance in all areas of science in which empirical data must be analyzed. This book proposes a systematic approach to building such models based on standard principles of statistical modeling. Series: Wiley Series in Probability and Statistics. Num Pages: 322 pages, Illustrations. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 249 x 175 x 23. Weight in Grams: 690. . 2008. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 162,27
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Aggiungi al carrelloBuch. Condizione: Neu. Neuware - Multivariable regression models are widely used in all areas of science in which empirical data are analysed. Using the multivariable fractional polynomials (MFP) approach this book focuses on the selection of important variables and the determination of functional form for continuous predictors. Despite being relatively simple, the selected models often extract most of the important information from the data. The authors have chosen to concentrate on examples drawn from medical statistics, although the MFP method has applications in many other subject-matter areas as well.Multivariable Model-Building:\* Focuses on normal-error models for continuous outcomes, logistic regression for binary outcomes and Cox regression for censored time-to-event data.\* Concentrates on fractional polynomial models and illustrates new approaches to model critisism and stability.\* Provides comparisons with and discussion of other techniques such as spline models.\* Features new strategies on modelling interactions with continuous covariates which are important in the context of randomized trials and observational studies\* Does not consider high-dimensional data, such as gene expression data.\* Is illustrated throughout with working examples from more than 20 substantial real datasets, most data sets and programs in Stata are available on a website enabling the reader to apply techniques directly\* Is written in an accessible and informal style making it suitable for researchers from a range of disciplines with minimal mathematical backgroundThis book provides a readable text giving the rationale of, and practical advice on, a unified approach to multivariable modelling. It aims to make multivariable model building simpler, transparent and more effective. This book is aimed at graduate students studying regression modelling and professionals in statistics as well as researchers from medical, physical, social and many other sciences where regression models play a central role.Patrick Royston DSc, is a senior statistician and cancer clinical trialist at the MRC Clinical Trials Unit, London, an honorary professor of statistics at University College London, and a fellow of the Royal Statistical Society. He has authored many research papers in biostatistics, and has published over 150 articles in leading statistical journals. Patrick is an experienced statistical consultant, Stata programmer and software author.Willi Sauerbrei PhD, is a senior statistician and professor in medical biometry at the IMBI, University Medical Center Freiburg. He has authored many research papers in biostatistics, and has published over 100 articles in leading statistical and clinical journals. He worked for more than two decades as an academic biostatistician and has extensive experience of cancer research, with a particular concern for breast cancer.
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 140,47
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Aggiungi al carrelloHardback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 752.
Lingua: Inglese
Editore: John Wiley & Sons Inc, New York, 2008
ISBN 10: 0470028424 ISBN 13: 9780470028421
Da: CitiRetail, Stevenage, Regno Unito
Prima edizione Print on Demand
EUR 127,66
Quantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: new. Hardcover. Multivariable regression models are of fundamental importance in all areas of science in which empirical data must be analyzed. This book proposes a systematic approach to building such models based on standard principles of statistical modeling. The main emphasis is on the fractional polynomial method for modeling the influence of continuous variables in a multivariable context, a topic for which there is no standard approach. Existing options range from very simple step functions to highly complex adaptive methods such as multivariate splines with many knots and penalisation. This new approach, developed in part by the authors over the last decade, is a compromise which promotes interpretable, comprehensible and transportable models. Multivariable regression models are of fundamental importance in all areas of science in which empirical data must be analyzed. This book proposes a systematic approach to building such models based on standard principles of statistical modeling. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Da: Revaluation Books, Exeter, Regno Unito
EUR 163,24
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Aggiungi al carrelloHardcover. Condizione: Brand New. 1st edition. 322 pages. 9.50x6.50x1.00 inches. In Stock. This item is printed on demand.