Likelihood ratio tests for a dose‐response effect using multiple nonlinear regression models

DOI10.1111/biom.12563zbMath1366.62218arXiv1510.06253OpenAlexW2228776755WikidataQ39614991 ScholiaQ39614991MaRDI QIDQ5347418

Georg Gutjahr, Björn Bornkamp

Publication date: 23 May 2017

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1510.06253

zbMATH Keywords

volume of tubesdose-findingnon-linear modelsnon-identifiabilitylikelihood-ratio testsemax model

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Parametric hypothesis testing (62F03) General nonlinear regression (62J02)

Related Items

The Tukey trend test: Multiplicity adjustment using multiple marginal models ⋮ Comparison of different approaches for dose response analysis

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