Measurement Error and Misclassification in Statistics and Epidemiology - Impacts and Bayesian Adjustments (Loose-leaf)

This book addresses statistical challenges posed by inaccurately measuring explanatory variables, a common problem in biostatistics and epidemiology. The author explores both measurement error in continuous variables and misclassification in categorical variables. He also describes the circumstances in which it is necessary to explicitly adjust for imprecise covariates using the Bayesian approach and a Markov chain Monte Carlo algorithm. The book offers a mix of basic and more specialized topics and provides mathematical details in the final sections of each chapter. Because of its dual approach, the book is a useful reference for biostatisticians, epidemiologists, and students.

General

Imprint:	Taylor & Francis
Country of origin:	United States
Release date:	September 2003
First published:	September 2003
Authors:	Paul Gustafson
Format:	Loose-leaf - Loose leaf, sheets & binder
Pages:	200
ISBN-13:	978-1-4200-6657-9
Categories:	Books > Medicine > General issues > Public health & preventive medicine > Epidemiology & medical statistics
LSN:	1-4200-6657-9
Barcode:	9781420066579

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