Threshold estimation based on a p-value framework in dose-response and regression settings [PDF]
arXiv, 2011 We use p-values to identify the threshold level at which a regression function takes off from its baseline value, a problem motivated by applications in toxicological and pharmacological dose-response studies and environmental statistics. We study the problem in two sampling settings: one where multiple responses can be obtained at a number of ...
arxiv
Computational Toxicology—A State of the Science Mini Review [PDF]
, 2007 Robert J. Kavlock +14 more
openalex +1 more source
ELIXIR and Toxicology: a community in development [version 2; peer review: 2 approved]
F1000Research, 2023 Toxicology has been an active research field for many decades, with academic, industrial and government involvement. Modern omics and computational approaches are changing the field, from merely disease-specific observational models into target-specific ...
Evan E. Bolton +59 more
doaj
Prediction intervals for overdispersed binomial endpoints and their application to toxicological historical control data [PDF]
arXivFor toxicology studies, the validation of the concurrent control group by historical control data (HCD) has become requirements. This validation is usually done by historical control limits (HCL), which should cover the observations of the concurrent control with a predefined level of confidence.
arxiv
Marginalization in nonlinear mixed-effects models with an application to dose-response analysis [PDF]
arXiv, 2017 Inference in hierarchical nonlinear models needs careful consideration about targeting parameters that have either a conditional or population-average interpretation. For the special case of mixed-effects nonlinear sigmoidal models we propose a method for the estimation of derived parameters with a marginal interpretation, but also maintaining the ...
arxiv
Use of computational toxicology tools to predict in vivo endpoints associated with Mode of Action and the endocannabinoid system: A case study with chlorpyrifos, chlorpyrifos-oxon and Δ9Tetrahydrocannabinol. [PDF]
Curr Res Toxicol, 2022 Silva M, Kwok RK.
europepmc +1 more source
A projection approach for multiple monotone regression [PDF]
arXiv, 2019 Shape-constrained inference has wide applicability in bioassay, medicine, economics, risk assessment, and many other fields. Although there has been a large amount of work on monotone-constrained univariate curve estimation, multivariate shape-constrained problems are much more challenging, and fewer advances have been made in this direction.
arxiv
Optimizing androgen receptor prioritization using high-throughput assay-based activity models
Frontiers in ToxicologyIntroduction: Computational models using data from high-throughput screening assays have promise for prioritizing and screening chemicals for testing under the U.S. Environmental Protection Agency’s Endocrine Disruptor Screening Program (EDSP).
Ronnie Joe Bever +11 more
doaj +1 more source
Computational Tools to Facilitate Early Warning of New Emerging Risk Chemicals
ToxicsInnovative tools suitable for chemical risk assessment are being developed in numerous domains, such as non-target chemical analysis, omics, and computational approaches. These methods will also be critical components in an efficient early warning system
Farina Tariq +15 more
doaj +1 more source