Ontology highlight
ABSTRACT:
SUBMITTER: Richardson R
PROVIDER: S-EPMC5976170 | biostudies-literature | 2018
REPOSITORIES: biostudies-literature
Richardson Robert R Tolley H Dennis HD Evenson William E WE Lunt Barry M BM
PloS one 20180530 5
In regression settings, parameter estimates will be biased when the explanatory variables are measured with error. This bias can significantly affect modeling goals. In particular, accelerated lifetime testing involves an extrapolation of the fitted model, and a small amount of bias in parameter estimates may result in a significant increase in the bias of the extrapolated predictions. Additionally, bias may arise when the stochastic component of a log regression model is assumed to be multiplic ...[more]