Weighted logistic regression and robust analysis of diverse toxicology data Conference Paper

abstract

• Simpson, Carroll, Zhou and Guth (1996) developed an ordinal response regression approach to meta-analysis of data from diverse toxicology studies, applying the methodology to a database of acute inhalation studies of tetrachloroethylene. We present an alternative analysis of the same data, with two major differences: (1) interval censored scores are assigned worst-case values, e.g., a score known to be in the interval [0, 1] is set equal to 1; and (2) the response is reduced to a binary response (adverse, nonadverse). We explore the stability of the analysis by varying a robustness parameter and graphing the curves traced out by the estimates and confidence intervals. Copyright 1996 by Marcel Dekker, Inc.

authors

• Carroll, Raymond

published proceedings

• COMMUNICATIONS IN STATISTICS-THEORY AND METHODS

author list (cited authors)

• Simpson, D. G., Carroll, R. J., Xie, M. G., & Guth, D. J.

citation count

• 13

complete list of authors

• Simpson, DG||Carroll, RJ||Xie, MG||Guth, DJ

publication date

• January 1996

publisher

• Taylor & Francis  Publisher

published in

• Communications in Statistics: Theory and Methods  Journal

keywords

• Binary Response
• Combining Information
• Environmental Statistics
• Generalized Estimating Equation
• Toxicology

Digital Object Identifier (DOI)

• 10.1080/03610929608831859

start page

• 2615

end page

• 2632

volume

• 25

issue

• 11

URL

• http%3A%2F%2Fdx.doi.org%2F10.1080%2F03610929608831859