Description: Bias analysis quantifies the influence of systematic error on an epidemiology study's estimate of association. The fundamental methods of bias analysis in epi- miology have been well described for decades, yet are seldom applied in published presentations of epidemiologic research. More recent advances in bias analysis, such as probabilistic bias analysis, appear even more rarely. We suspect that there are both supply-side and demand-side explanations for the scarcity of bias analysis. On the demand side, journal reviewers and editors seldom request that authors address systematic error aside from listing them as limitations of their particular study. This listing is often accompanied by explanations for why the limitations should not pose much concern. On the supply side, methods for bias analysis receive little attention in most epidemiology curriculums, are often scattered throughout textbooks or absent from them altogether, and cannot be implemented easily using standard statistical computing software. Our objective in this text is to reduce these supply-side barriers, with the hope that demand for quantitative bias analysis will follow.
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EAN: 9780387879604
UPC: 9780387879604
ISBN: 9780387879604
MPN: N/A
Book Title: Applying Quantitative Bias Analysis to Epidemiolog
Item Length: 23.4 cm
Number of Pages: 192 Pages
Publication Name: Applying Quantitative Bias Analysis to Epidemiologic Data
Language: English
Publisher: Springer-Verlag New York Inc.
Item Height: 235 mm
Subject: Medicine, Engineering & Technology, Mathematics, Healthcare System
Publication Year: 2009
Type: Textbook
Item Weight: 1040 g
Subject Area: Social Research
Author: Timothy L. Lash, Matthew P. Fox, Aliza K. Fink
Item Width: 155 mm
Series: Statistics for Biology and Health
Format: Hardcover
