• Carroll Measurement Error

    Math in Auto ServiceImpact of exposure measurement … – Two distinctly different types of measurement error are Berkson and classical. Impacts of measurement error in epidemiologic studies of ambient air ……

    Nonparametric Prediction in Measurement Error Models Raymond J. Carroll Department of Statistics, 3143 TAMU, Texas A&M University, College Station, Measurement Errors Graham Dunn, Biostatistics Group School of Community Based Medicine graham.dunn@manchester.ac.uk.

    Stata software for generalized linear measurement error models Three commands available since Stata 8 fit generalized linear models when one or more ……

    Mailing Address Department of Statistics 447 Blocker Building Texas A&M University College Station, TX 77843-3143 USA Contact Numbers…

    Measurement Error in Nonlinear Models: A Modern Perspective, Second Edition Raymond J. Carroll, David Ruppert, Leonard A. Stefanski and Ciprian Crainiceanu July 2006 488 pages ISBN: 1584886331 CRC Web Site Information .

    Measurement Error in Nonlinear Models liPresents a complete and uptodate survey of the modern measurement error modeling literature w.

    Features; Presents a complete and up-to-date survey of the modern measurement error modeling literature, written by leaders in the field ; Provides several ……

    carroll AT stat.tamu.edu. Distinguished Professor and Jill and Stuart A. Harlin 83 Chair in Statistics Texas A&M University Professor of Statistics, Nutrition and Toxicology … Measurement Error (JASA, 2015, preprint), PDF File

    Errors-in-variable regression: Use & misuse – measurement error, equation error, method of moments, orthogonal regression, major axis regression, allometry…

    In statistics, errors-in-variables models or measurement error models are regression models that account for measurement errors in the independent ……

    CiteSeerX – Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): This article is concerned with relating a response or outcome to an exposure and confounders in the presence of measurement error in one or more of the variables. We focus almost entirely on measurement error in a …