logistic regression models (242 resultados)

Hardcover. Condición: 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.

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Condición: Fine. *Price HAS BEEN REDUCED by 10% until Monday, Aug. 11 (SALE ITEM)* 2nd edition, 500 pp., paperback, previous owner's name neatly inked to the title page, else fine. - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country.

Hardcover. Ex-library with stamp and library-signature. GOOD condition, some traces of use. Ancien Exemplaire de bibliothèque avec signature et cachet. BON état, quelques traces d'usure. Ehem. Bibliotheksexemplar mit Signatur und Stempel. GUTER Zustand, ein paar Gebrauchsspuren. 62 HAR 9780387952321 Sprache: Englisch Gewicht in Gramm: 1150.

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Condición: Fine. *Price HAS BEEN REDUCED by 10% until Monday, Aug. 11 (SALE ITEM)* 656 pp., hardcover, previous owner's name neatly inked to the title page, else fine. - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country.

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Condición: Fine. First Edition. Hardcover : pp. [vi] xviii, 637 [1 blank] : red gloss paper boards : black spine.

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Softcover. Condición: sehr gut. Hardcover gr. 8°. xviii, 637 pages. with figures and tables. little rubbed. good condition. Series Texts in Statistical Science". in englischer Sprache (in english).

Taschenbuch. Condición: 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.

Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This highly anticipated second edition features new chapters and sections, 225 new references, and comprehensive R software. In keeping with the previous edition, this book is about the art and science of data analysis and predictive modelling, which entails choosing and using multiple tools. Instead of presenting isolated techniques, this text emphasises problem solving strategies that address the many issues arising when developing multi-variable models using real data and not standard textbook examples. Regression Modelling Strategies presents full-scale case studies of non-trivial data-sets instead of over-simplified illustrations of each method. These case studies use freely available R functions that make the multiple imputation, model building, validation and interpretation tasks described in the book relatively easy to do. Most of the methods in this text apply to all regression models, but special emphasis is given to multiple regression using generalised least squares for longitudinal data, the binary logistic model, models for ordinal responses, parametric survival regression models and the Cox semi parametric survival model. A new emphasis is given to the robust analysis of continuous dependent variables using ordinal regression.As in the first edition, this text is intended for Masters' or PhD. level graduate students who have had a general introductory probability and statistics course and who are well versed in ordinary multiple regression and intermediate algebra. The book will also serve as a reference for data analysts and statistical methodologists, as it contains an up-to-date survey and bibliography of modern statistical modelling techniques.

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N.A. Condición: New. ISBN:9780367413927.

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Softcover. Condición: New. Estado de la sobrecubierta: no dj. First. Evaluating Logistic Regression Models - A Comprehensive Guide offers an in-depth look at the evaluation and interpretation of logistic regression analyses. This book covers the essential concepts and techniques necessary for assessing the performance of logistic regression models in various contexts. Readers will gain insights into model diagnostics, goodness-of-fit measures, and the implications of model results. The text is designed to enhance the reader's understanding of logistic regression, making it an indispensable resource for statisticians and data analysts. Evaluating Logistic Regression Models - A Comprehensive Guide is crucial for those seeking to refine their analytical skills and improve their data interpretation capabilities. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

paperback. Condición: New. New. book.

Hardcover. Condición: Very Good. Estado de la sobrecubierta: No Dust Jacket. Hardcover in very good condition. Pages are clean, and text and illustrations are clear. TH. Used.

Estado de la sobrecubierta: no dj. First. Logistic Regression in Insurance - Risk Assessment Models offers a thorough exploration of logistic regression as a pivotal tool for risk assessment in the insurance industry. This book discusses the theoretical underpinnings of logistic regression while providing practical applications tailored to insurance contexts. It illustrates how this statistical method can effectively predict outcomes and inform underwriting decisions. By combining rigorous analysis with real-world examples, this work serves as an essential resource for insurance professionals and data analysts aiming to enhance their risk assessment strategies. Publication Year: . SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Here i am applying Baseline category logit model, proportional odds model, continuation ratio model and adjacent category logit model and comparing them and selecting the efficient model for interpreting the factors that affect the health rate of adolescences in Jimma zone, South West Ethiopia! Accordingly, the proportion odds model (satisfies the assumption) is the efficient model for this data set, and the interpretation is based on it! Hence, sex, educational status and source of water have significant impact on the health rate of adolescences. 72 pp. Englisch.