Measurement Error and Misclassification in Statistics and Epidemiology - Impacts and Bayesian Adjustments

Mismeasurement of explanatory variables is a common hazard when using statistical modeling techniques, and particularly so in fields such as biostatistics and epidemiology where perceived risk factors cannot always be measured accurately. With this perspective and a focus on both continuous and categorical variables, Measurement Error and Misclassification in Statistics and Epidemiology: Impacts and Bayesian Adjustments examines the consequences and Bayesian remedies in those cases where the explanatory variable cannot be measured with precision.

The author explores both measurement error in continuous variables and misclassification in discrete variables, and shows how Bayesian methods might be used to allow for mismeasurement. A broad range of topics, from basic research to more complex concepts such as "wrong-model" fitting, make this a useful research work for practitioners, students and researchers in biostatistics and epidemiology."

Inhaltsverzeichnis

Introduction. Impact of Mismeasured Continuous Variables. Impact of Mismeasured Categorical Variables. Adjustment for Mismeasured Continuous Variables. Adjustment for Mismeasured Categorical Variables. Further Topics. Appendix: Bayes-MCMC Inference. References.

Über den Autor / die Autorin

Paul Gustafson (University of British Columbia, Vancouver, Canada) (Author)

Zusammenfassung

Addresses statistical challenges posed by inaccurately measuring explanatory variables, a common problem in biostatistics and epidemiology. This book explores both measurement error in continuous variables and misclassification in categorical variables. It is suitable for biostatisticians, epidemiologists, and students.

Produktdetails

• Autoren: Paul Gustafson, Gustafson Paul
• Mitarbeit: Niels Keiding (Herausgeber der Reihe), Byron J.T. Morgan (Herausgeber der Reihe), Terry Speed (Herausgeber der Reihe), Peter Van der Heijden (Herausgeber der Reihe)
• Verlag: Taylor and Francis
• Sprache: Englisch
• Produktform: Fester Einband
• Erschienen: 25.09.2003
• EAN: 9781584883357
• ISBN: 978-1-58488-335-7
• Seiten: 200
• Abmessung: 156 mm x 234 mm x 16 mm
• Gewicht: 417 g
• Illustration: schwarz-weiss Illustrationen, Tabellen, schwarz-weiss
• Serie: Chapman & Hall/CRC Interdisciplinary Statistics
• Themen: Naturwissenschaften, Medizin, Informatik, Technik > Mathematik > Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik; Epidemiology & medical statistics, MEDICAL / Biostatistics, MEDICAL / Epidemiology, Epidemiology and Medical statistics