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Statistical evaluation of toxicological bioassays–a review
LA Hothorn - Toxicology Research, 2014 - academic.oup.com
The basic conclusions in almost all reports on new drug applications and in all publications
in toxicology are based on statistical methods. However, serious contradictions exist in …
in toxicology are based on statistical methods. However, serious contradictions exist in …
Ecotoxicology is not normal: A comparison of statistical approaches for analysis of count and proportion data in ecotoxicology
Ecotoxicologists often encounter count and proportion data that are rarely normally
distributed. To meet the assumptions of the linear model, such data are usually transformed …
distributed. To meet the assumptions of the linear model, such data are usually transformed …
[BUCH][B] Statistics in toxicology using R
L Hothorn - 2016 - api.taylorfrancis.com
When you write a book on statistics in toxicology you are sitting on the fence: For statisticians
much is known (or at least not exciting), but a large number of toxicologists will be …
much is known (or at least not exciting), but a large number of toxicologists will be …
Statistical evaluation of toxicological assays: Dunnett or Williams test—take both
T Jaki, LA Hothorn - Archives of Toxicology, 2013 - Springer
Abstract The US National Toxicology Program recommends the use of the parametric
multiple comparison procedures of Dunnett and Williams for the evaluation of repeated …
multiple comparison procedures of Dunnett and Williams for the evaluation of repeated …
Frequentist model averaging under inequality constraints
R Zhu, X Zhang, ATK Wan, G Zou - Journal of Statistical Planning and …, 2022 - Elsevier
Motivated by the inability of the Akaike information criterion to distinguish between statistical
models with inequality constraints on parameters, a series of papers have considered …
models with inequality constraints on parameters, a series of papers have considered …
Identification of the minimum effective dose for normally distributed data using a Bayesian variable selection approach
The identification of the minimum effective dose is of high importance in the drug
development process. In early stage screening experiments, establishing the minimum …
development process. In early stage screening experiments, establishing the minimum …
Statistical analysis of no observed effect concentrations or levels in eco-toxicological assays with overdispersed count endpoints
LA Hothorn, FM Kluxen - bioRxiv, 2020 - biorxiv.org
In (eco-) toxicological hazard characterization, the No Observed Adverse Effect
Concentration or Level (NOAEC or NOAEL) approach is used and often required despite of …
Concentration or Level (NOAEC or NOAEL) approach is used and often required despite of …
IsoGeneGUI: Multiple approaches for dose-response analysis of microarray data using R
The analysis of transcriptomic experiments with ordered covariates, such as dose-response
data, has become a central topic in bioinformatics, in particular in omics studies …
data, has become a central topic in bioinformatics, in particular in omics studies …
[PDF][PDF] Development of biomarkers in non-clinical and clinical studies
T Bigirumurame - 2016 - ibiostat.be
The work presented in this dissertation is focused on the development of biomarkers in non-
clinical and clinical studies. A biomarker is a characteristic that is objectively measured and …
clinical and clinical studies. A biomarker is a characteristic that is objectively measured and …
[PDF][PDF] Modelling High Dimensional Dose-Response Data
M OTAVA - 2015 - preview.ibiostat.be
The work presented in this thesis is focused on dose-response relationships in a broad
sense. The proposed methods can be applied to any experiment with an ordered exposure …
sense. The proposed methods can be applied to any experiment with an ordered exposure …