An EM algorithm for fitting a four-parameter logistic model to binary dose-response data

DOI10.1007/S13253-010-0045-3zbMath1306.62226OpenAlexW1966177288WikidataQ33964980 ScholiaQ33964980MaRDI QIDQ2261001

Gregg E. Dinse

Publication date: 6 March 2015

Published in: Journal of Agricultural, Biological, and Environmental Statistics (Search for Journal in Brave)

Full work available at URL: https://europepmc.org/articles/pmc3137126

zbMATH Keywords

logistic regressionquantal responseHill modelbinomial data

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Design of statistical experiments (62K99) Kinetics in biochemical problems (pharmacokinetics, enzyme kinetics, etc.) (92C45)

Related Items (2)

Optimal designs based on the maximum quasi-likelihood estimator ⋮ Dose response models with natural mortality and random effects

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Testing for the equality of EC50 values in the presence of unequal slopes with application to toxicity of selenium types
• Regression Analysis of Tumour Prevalence Data
• Effects of Treatment-Induced Mortality and Tumor-Induced Mortality on Tests for Carcinogenicity in Small Samples
• Application of the Four-Parameter Logistic Model to Bioassay: Comparison with Slope Ratio and Parallel Line Models
• Linear Statistical Inference and its Applications

This page was built for publication: An EM algorithm for fitting a four-parameter logistic model to binary dose-response data