Robustness of interval estimation of the 90% effective dose: Bootstrap resampling and some large-sample parametric methods

DOI10.1080/0266476022000006748zbMath1121.62394OpenAlexW2028799999MaRDI QIDQ3591766

Yangxin Huang

Publication date: 11 September 2007

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/0266476022000006748

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (1)

Multivariate piecewise joint models with random change-points for skewed-longitudinal and survival data

Uses Software

• GenStat

Cites Work

• Unnamed Item
• On the Accuracy of Fieller Intervals for Binary Response Data
• Choice of Number of Doses for Maximum Likelihood Estimation of the ED50 for Quantal Dose-Response Data
• The Cubic Logistic Model for Quantal Assay Data
• On two families of transformations to additivity for binary response data
• Interval Estimation of the Median Lethal Dose
• Interval Estimation of Inverse Dose-Response
• Interval estimation of the median effective dose for a logistic dose-response curve
• Interval estimation of the 90% effective dose: A comparison of bootstrap resampling methods with some large-sample approaches

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