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Condition: very_good. Cover may have light wear, pages in very good condition and binding is sturdy; may have other light shelf wear or creases. May have notes or highlighting.
Language: English
Published by Springer-Verlag New York Inc., 2004
ISBN 10: 0387202757 ISBN 13: 9780387202754
Seller: Ammareal, Morangis, France
Hardcover. Condition: Très bon. Ancien livre de bibliothèque. Salissures sur la tranche. Edition 2004. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Very good. Former library book. Stains on the edge. Edition 2004. Ammareal gives back up to 15% of this item's net price to charity organizations.
Language: English
Published by Springer-Verlag New York Inc., 2005
ISBN 10: 0387202757 ISBN 13: 9780387202754
Seller: Anybook.com, Lincoln, United Kingdom
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Add to basketCondition: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,700grams, ISBN:9780387202754.
hardcover. Condition: Good. 2nd ed. 2012. Ships in a BOX from Central Missouri! May not include working access code. Will not include dust jacket. Has used sticker(s) and some writing or highlighting. UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).
Condition: Acceptable. Readable, but has significant damage / tears. Has a remainder mark. hardcover Used - Acceptable 2011.
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Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
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Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Seller: Chiron Media, Wallingford, United Kingdom
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Language: English
Published by Springer-Verlag New York Inc., New York, NY, 2011
ISBN 10: 1461413524 ISBN 13: 9781461413523
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.
Hardcover. Condition: new. Hardcover. This new book provides a unified, in-depth, readable introduction to the multipredictor regression methods most widely used in biostatistics: linear models for continuous outcomes, logistic models for binary outcomes, the Cox model for right-censored survival times, repeated-measures models for longitudinal and hierarchical outcomes, and generalized linear models for counts and other outcomes. Treating these topics together takes advantage of all they have in common. The authors point out the many-shared elements in the methods they present for selecting, estimating, checking, and interpreting each of these models. They also show that these regression methods deal with confounding, mediation, and interaction of causal effects in essentially the same way. The examples, analyzed using Stata, are drawn from the biomedical context but generalize to other areas of application. While a first course in statistics is assumed, a chapter reviewing basic statistical methods is included. Some advanced topics are covered but the presentation remains intuitive. A brief introduction to regression analysis of complex surveys and notes for further reading are provided. This fresh edition, substantially revised and augmented, provides a unified, in-depth, readable introduction to the multipredictor regression methods most widely used in biostatistics. The examples used, analyzed using Stata, can be applied to other areas. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Seller: Books Puddle, New York, NY, U.S.A.
Condition: New. pp. 532 2nd Edition.
Language: English
Published by Springer-Verlag New York Inc., 2011
ISBN 10: 1461413524 ISBN 13: 9781461413523
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
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Add to basketHardback. Condition: New. New copy - Usually dispatched within 3 working days.
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This new book provides a unified, in-depth, readable introduction to the multipredictor regression methods most widely used in biostatistics: linear models for continuous outcomes, logistic models for binary outcomes, the Cox model for right-censored survival times, repeated-measures models for longitudinal and hierarchical outcomes, and generalized linear models for counts and other outcomes. Treating these topics together takes advantage of all they have in common. The authors point out the many-shared elements in the methods they present for selecting, estimating, checking, and interpreting each of these models. They also show that these regression methods deal with confounding, mediation, and interaction of causal effects in essentially the same way. The examples, analyzed using Stata, are drawn from the biomedical context but generalize to other areas of application. While a first course in statistics is assumed, a chapter reviewing basic statistical methods is included. Some advanced topics are covered but the presentation remains intuitive. A brief introduction to regression analysis of complex surveys and notes for further reading are provided.
Language: English
Published by Springer-Verlag New York Inc., US, 2011
ISBN 10: 1461413524 ISBN 13: 9781461413523
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Hardback. Condition: New. 2nd ed. 2012.