Description: Applying Quantitative Bias Analysis to Epidemiologic Data, Hardcover by Lash, Timothy; Fox, Matthew; Maclehose, Richard, ISBN 3030826724, ISBN-13 9783030826727, Like New Used, Free shipping in the US
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.
Price: 85.29 USD
Location: Jessup, Maryland
End Time: 2024-12-25T04:53:30.000Z
Shipping Cost: 0 USD
Product Images
Item Specifics
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 14 Days
Refund will be given as: Money Back
Return policy details:
Book Title: Applying Quantitative Bias Analysis to Epidemiologic Data
Number of Pages: Xvi, 467 Pages
Publication Name: Applying Quantitative Bias Analysis to Epidemiologic Data
Language: English
Publisher: Springer International Publishing A&G
Publication Year: 2022
Subject: Biostatistics, Public Health, Epidemiology, Bioinformatics
Item Weight: 31.3 Oz
Type: Textbook
Item Length: 9.3 in
Subject Area: Computers, Medical
Author: Matthew P. Fox, Timothy L. Lash, Richard F. Maclehose
Item Width: 6.1 in
Series: Statistics for Biology and Health Ser.
Format: Hardcover
