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Applying Quantitative Bias Analysis to Epidemiologic Data (Hardcover, 2nd ed. 2021)
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Applying Quantitative Bias Analysis to Epidemiologic Data (Hardcover, 2nd ed. 2021)
Series: Statistics for Biology and Health
Expected to ship within 9 - 15 working days
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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.
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