Langue: anglais
Edité par Paulist Press/ Deus Book, 1976, 1976
ISBN 10 : 0809119137 ISBN 13 : 9780809119134
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Ajouter au panierSoft Cover. Etat : Good+ to Very Good. Soft Cover. Good+ to Very Good. 12mo - over 6¾" - 7¾" tall. Light crease down spine, reading crease along spine on edge of front cover, light brown dust or foxing specks on top and side page edges. 156 pages.
Langue: anglais
Edité par Notre Dame: Fides/Claretian c. 1979., 1979
ISBN 10 : 0819006351 ISBN 13 : 9780819006356
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Ajouter au panierG, unmarked 5 1/4" x 7 3/4" Paperback. ISBN 0-8190-0635-1 viii + 440 pp.
Edité par Universal Studios Home Entertainment 2007-04-17 00:00:00, 2007
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Ajouter au panierEtat : Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Shows some signs of wear but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.
Edité par Springer
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Langue: anglais
Edité par Springer Nature Switzerland AG, Cham, 2023
ISBN 10 : 3030826759 ISBN 13 : 9783030826758
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Ajouter au panierPaperback. Etat : new. Paperback. This textbook and guide focuses on methodologies for bias analysis in epidemiology and public health, not only providing updates to the first edition but also further developing methods and adding new advanced methods.As computational power available to analysts has improved and epidemiologic problems have become more advanced, missing data, Bayes, and empirical methods have become more commonly used. This new edition features updated examples throughout and adds coverage addressing:Measurement error pertaining to continuous and polytomous variablesMethods surrounding person-time (rate) dataBias analysis using missing data, empirical (likelihood), and Bayes methods A unique feature of this revision is its section on best practices for implementing, presenting, and interpreting bias analyses. Pedagogically, the text guides students and professionals through the planning stages of bias analysis, including the design of validation studies and the collection of validity data from other sources. Three chapters present methods for corrections to address selection bias, uncontrolled confounding, and measurement errors, and subsequent sections extend these methods to probabilistic bias analysis, missing data methods, likelihood-based approaches, Bayesian methods, and best practices. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Langue: anglais
Edité par Springer Nature Switzerland AG, Cham, 2022
ISBN 10 : 3030826724 ISBN 13 : 9783030826727
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Ajouter au panierHardcover. Etat : new. Hardcover. This textbook and guide focuses on methodologies for bias analysis in epidemiology and public health, not only providing updates to the first edition but also further developing methods and adding new advanced methods.As computational power available to analysts has improved and epidemiologic problems have become more advanced, missing data, Bayes, and empirical methods have become more commonly used. This new edition features updated examples throughout and adds coverage addressing:Measurement error pertaining to continuous and polytomous variablesMethods surrounding person-time (rate) dataBias analysis using missing data, empirical (likelihood), and Bayes methods A unique feature of this revision is its section on best practices for implementing, presenting, and interpreting bias analyses. Pedagogically, the text guides students and professionals through the planning stages of bias analysis, including the design of validation studies and the collection of validity data from other sources. Three chapters present methods for corrections to address selection bias, uncontrolled confounding, and measurement errors, and subsequent sections extend these methods to probabilistic bias analysis, missing data methods, likelihood-based approaches, Bayesian methods, and best practices. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Ajouter au panierHardcover. Etat : new. New Copy. Customer Service Guaranteed.
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Langue: anglais
Edité par Springer Nature Switzerland AG, CH, 2022
ISBN 10 : 3030826724 ISBN 13 : 9783030826727
Vendeur : Rarewaves.com USA, London, LONDO, Royaume-Uni
EUR 99,24
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Ajouter au panierHardback. Etat : New. Second Edition 2021. This textbook and guide focuses on methodologies for bias analysis in epidemiology and public health, not only providing updates to the first edition but also further developing methods and adding new advanced methods.As computational power available to analysts has improved and epidemiologic problems have become more advanced, missing data, Bayes, and empirical methods have become more commonly used. This new edition features updated examples throughout and adds coverage addressing:Measurement error pertaining to continuous and polytomous variablesMethods surrounding person-time (rate) dataBias analysis using missing data, empirical (likelihood), and Bayes methods A unique feature of this revision is its section on best practices for implementing, presenting, and interpreting bias analyses. Pedagogically, the text guides students and professionals through the planning stages of bias analysis, including the design of validation studies and the collection of validity data from other sources. Three chapters present methods for corrections to address selection bias, uncontrolled confounding, and measurement errors, and subsequent sections extend these methods to probabilistic bias analysis, missing data methods, likelihood-based approaches, Bayesian methods, and best practices.
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Ajouter au panierPaperback. Etat : Brand New. 2nd edition. 467 pages. 9.25x6.10x0.97 inches. In Stock.
Vendeur : Books Puddle, New York, NY, Etats-Unis
EUR 108,50
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Ajouter au panierEtat : New. 2nd ed. 2021 edition NO-PA16APR2015-KAP.
Langue: anglais
Edité par Springer International Publishing, Springer International Publishing, 2023
ISBN 10 : 3030826759 ISBN 13 : 9783030826758
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
EUR 53,49
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Ajouter au panierTaschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This textbook and guide focuses on methodologies for bias analysis in epidemiology and public health, not only providing updates to the first edition but also further developing methods and adding new advanced methods.As computational power available to analysts has improved and epidemiologic problems have become more advanced, missing data, Bayes, and empirical methods have become more commonly used.This new edition features updated examples throughout and adds coverage addressing: Measurement error pertaining to continuous and polytomous variables Methods surrounding person-time (rate) data Bias analysis using missing data, empirical (likelihood), and Bayes methods A unique feature of this revision is itssection on best practices for implementing, presenting, and interpreting bias analyses. Pedagogically, the text guides students and professionals through the planning stages of bias analysis, including the design of validation studies and the collection of validity data from other sources. Three chapters present methods for corrections to address selection bias, uncontrolled confounding, and measurement errors, and subsequent sections extend these methods to probabilistic bias analysis, missing data methods, likelihood-based approaches, Bayesian methods, and best practices.
Vendeur : preigu, Osnabrück, Allemagne
EUR 50,35
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Ajouter au panierTaschenbuch. Etat : Neu. Applying Quantitative Bias Analysis to Epidemiologic Data | Matthew P. Fox (u. a.) | Taschenbuch | Statistics for Biology and Health | xvi | Englisch | 2023 | Springer | EAN 9783030826758 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.