A finite sample comparison of nonparametric estimates of the effective dose in quantal bioassay

DOI10.1080/00949650902737465zbMath1195.62162OpenAlexW2016023898MaRDI QIDQ3589957

Regine Scheder, Dette, Holger

Publication date: 17 September 2010

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/2003/25868

zbMATH Keywords

nonparametric regressionbinary response modelisotonic regressionlocal linear regressionorder-restricted inferenceeffective dose level

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05) Medical applications (general) (92C50) Estimation in survival analysis and censored data (62N02)

Related Items (6)

Monotone B-Spline Smoothing for a Generalized Linear Model Response ⋮ Dose-Response Curve Estimation: A Semiparametric Mixture Approach ⋮ Robust and efficient estimation of effective dose ⋮ An adaptive nonparametric method in benchmark analysis for bioassay and environmental studies ⋮ Nonparametric benchmark analysis in risk assessment: a comparative study by simulation and data analysis ⋮ Recent progress in the nonparametric estimation of monotone curves -- with applications to bioassay and environmental risk assessment

Cites Work

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• Bandwidth choice for nonparametric regression
• Consistency and asymptotic normality of the estimated effective doses in bioassay
• An Empirical Distribution Function for Sampling with Incomplete Information
• Nonparametric estimation of dose-response curves with application to ED50 estimation
• Kernel and Probit Estimates in Quantal Bioassay
• Parametric and nonparametric estimators of ED100α
• Combining Multiple Comparisons and Modeling Techniques in Dose‐Response Studies
• A Note on Nonparametric Estimation of the Effective Dose in Quantal Bioassay

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