Exploring the Limits of Limited Data
Many observational studies in epidemiology and other disciplines face inherent limitations in study design and data quality, such as selection bias, unobserved variables, and poorly measured variables. Accessible to statisticians and researchers from various disciplines, this book presents an...
To Be Published March 20th 2015 by Chapman and Hall/CRC
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...
Published September 25th 2003 by Chapman and Hall/CRC