9783030826727 - applying quantitative bias analysis to epidemiologic data di lash, timothy; fox, matthew; maclehose, richard (24 risultati)
Lingua: Inglese
Editore: Springer, 2022
Serie: Statistics for Biology and Health, Libro 68 di 69. Libro 68 di 69 - Statistics for Biology and Health
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Editore: Springer, 2022
Serie: Statistics for Biology and Health, Libro 68 di 69. Libro 68 di 69 - Statistics for Biology and Health
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Condizione: 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.
Lingua: Inglese
Editore: Springer, 2022
Serie: Statistics for Biology and Health, Libro 68 di 69. Libro 68 di 69 - Statistics for Biology and Health
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Serie: Statistics for Biology and Health, Libro 68 di 69. Libro 68 di 69 - Statistics for Biology and Health
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Serie: Statistics for Biology and Health, Libro 68 di 69. Libro 68 di 69 - Statistics for Biology and Health
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Hardcover. Condizione: 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 epidemiolog…ic 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.
Lingua: Inglese
Editore: Springer, 2022
Serie: Statistics for Biology and Health, Libro 68 di 69. Libro 68 di 69 - Statistics for Biology and Health
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Lingua: Inglese
Editore: Springer, 2022
Serie: Statistics for Biology and Health, Libro 68 di 69. Libro 68 di 69 - Statistics for Biology and Health
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Serie: Statistics for Biology and Health, Libro 68 di 69. Libro 68 di 69 - Statistics for Biology and Health
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Editore: Springer, 2022
Serie: Statistics for Biology and Health, Libro 68 di 69. Libro 68 di 69 - Statistics for Biology and Health
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Serie: Statistics for Biology and Health, Libro 68 di 69. Libro 68 di 69 - Statistics for Biology and Health
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Serie: Statistics for Biology and Health, Libro 68 di 69. Libro 68 di 69 - Statistics for Biology and Health
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Editore: Springer Nature Switzerland AG, CH, 2022
Serie: Statistics for Biology and Health, Libro 68 di 69. Libro 68 di 69 - Statistics for Biology and Health
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Hardback. Condizione: 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 ep…idemiologic 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.
Lingua: Inglese
Editore: Springer, 2022
Serie: Statistics for Biology and Health, Libro 68 di 69. Libro 68 di 69 - Statistics for Biology and Health
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Condizione: New. 2nd ed. 2021 edition NO-PA16APR2015-KAP.
Applying Quantitative Bias Analysis to Epidemiologic Data
Fox, Matthew P. (Author)/ MacLehose, Richard F. (Author)/ Lash, Timothy L. (Author)
Lingua: Inglese
Editore: Springer, 2022
Serie: Statistics for Biology and Health, Libro 68 di 69. Libro 68 di 69 - Statistics for Biology and Health
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Hardcover. Condizione: Brand New. 2nd edition. 483 pages. 9.25x6.10x1.06 inches. In Stock.
Lingua: Inglese
Editore: Springer, Palgrave Macmillan, 2022
Serie: Statistics for Biology and Health, Libro 68 di 69. Libro 68 di 69 - Statistics for Biology and Health
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Buch. Condizione: 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.
Lingua: Inglese
Editore: Springer Nature Switzerland AG, Cham, 2022
Serie: Statistics for Biology and Health, Libro 68 di 69. Libro 68 di 69 - Statistics for Biology and Health
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Hardcover. Condizione: 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 epidemiolog…ic 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 our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Lingua: Inglese
Editore: Springer Nature Switzerland AG, CH, 2022
Serie: Statistics for Biology and Health, Libro 68 di 69. Libro 68 di 69 - Statistics for Biology and Health
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Hardback. Condizione: 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 ep…idemiologic 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.
Lingua: Inglese
Editore: Springer, 2022
Serie: Statistics for Biology and Health, Libro 68 di 69. Libro 68 di 69 - Statistics for Biology and Health
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Applying Quantitative Bias Analysis to Epidemiologic Data
Fox, Matthew P. (Author)/ MacLehose, Richard F. (Author)/ Lash, Timothy L. (Author)
Lingua: Inglese
Editore: Springer, 2022
Serie: Statistics for Biology and Health, Libro 68 di 69. Libro 68 di 69 - Statistics for Biology and Health
- Rilegato
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Hardcover. Condizione: Brand New. 2nd edition. 483 pages. 9.25x6.10x1.06 inches. In Stock. This item is printed on demand.
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Editore: Springer International Publishing Mrz 2022, 2022
Serie: Statistics for Biology and Health, Libro 68 di 69. Libro 68 di 69 - Statistics for Biology and Health
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 pow…er 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. 484 pp. Englisch.
Lingua: Inglese
Editore: Springer, Berlin|Springer International Publishing|Springer, 2021
Serie: Statistics for Biology and Health, Libro 68 di 69. Libro 68 di 69 - Statistics for Biology and Health
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 method…s.As computational power availa.
Lingua: Inglese
Editore: Springer, 2022
Serie: Statistics for Biology and Health, Libro 68 di 69. Libro 68 di 69 - Statistics for Biology and Health
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Serie: Statistics for Biology and Health, Libro 68 di 69. Libro 68 di 69 - Statistics for Biology and Health
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Serie: Statistics for Biology and Health, Libro 68 di 69. Libro 68 di 69 - Statistics for Biology and Health
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
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Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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 a…vailable 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 methodsA 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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 484 pp. Englisch.
