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Applying Quantitative Bias Analysis to Epidemiologic Data (Hardcover, 2nd ed. 2021) Loot Price: R2,105
Discovery Miles 21 050
Applying Quantitative Bias Analysis to Epidemiologic Data (Hardcover, 2nd ed. 2021): Matthew P. Fox, Richard F. MacLehose,...

Applying Quantitative Bias Analysis to Epidemiologic Data (Hardcover, 2nd ed. 2021)

Matthew P. Fox, Richard F. MacLehose, Timothy L. Lash

Series: Statistics for Biology and Health

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Loot Price R2,105 Discovery Miles 21 050 | Repayment Terms: R197 pm x 12*

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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 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.

General

Imprint: Springer Nature Switzerland AG
Country of origin: Switzerland
Series: Statistics for Biology and Health
Release date: March 2022
First published: 2021
Authors: Matthew P. Fox • Richard F. MacLehose • Timothy L. Lash
Dimensions: 235 x 155 x 35mm (L x W x T)
Format: Hardcover
Pages: 467
Edition: 2nd ed. 2021
ISBN-13: 978-3-03-082672-7
Categories: Books > Science & Mathematics > Mathematics > Probability & statistics
Books > Social sciences > Sociology, social studies > Social research & statistics > General
Books > Medicine > General issues > Medical equipment & techniques > General
Books > Medicine > General issues > Public health & preventive medicine > Epidemiology & medical statistics
Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues > General
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LSN: 3-03-082672-4
Barcode: 9783030826727

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