Applying quantitative bias analysis to epidemiologic data

This text provides the first-ever compilation of bias analysis methods for use with epidemiologic data. It guides the reader through the planning stages ofbias 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 classification errors. Subsequent chapters extend these methods to multidimensional bias analysis, probabilistic bias analysis, and multiple bias analysis. The text concludes with a chapter on presentation and interpretation of bias analysis results. Although techniques for bias analysis have been available for decades, thesemethods are considered difficult to implement. This text not only gathers themethods into one cohesive and organized presentation, it also explains the methods in a consistent fashion and provides customizable spreadsheets to implement the solutions. Collects and synthesizes methods for quantifiying systematic errors that affect observational epidemiologic research INDICE: Introduction, objectives and an alternative.- A guide to implementing quantitative bias analysis.- Data sources for bias analysis.- Selection bias.- Unmeasured and unknown confounders.- Misclassification.- Multidimensionalbias analysis.- Probabilistic bias analysis.- Multiple bias modeling.- Presentation and inference.

• ISBN: 978-0-387-87960-4
• Editorial: Springer
• Encuadernacion: Cartoné
• Páginas: 345
• Fecha Publicación: 01/06/2009
• Nº Volúmenes: 1
• Idioma: Inglés