Robust design in a two treatment comparison in the presence of a covariate

DOI10.1016/0378-3758(87)90057-7zbMath0632.62101OpenAlexW1971276544MaRDI QIDQ1095552

Nancy E. Heckman

Publication date: 1987

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0378-3758(87)90057-7

zbMATH Keywords

clinical trialsrobust designcovariateminimum mean squared errorcomparison of two treatmentsminimax estimatesexpected responsesnearly linear modelsoptimum allocation procedure

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Applications of statistics to biology and medical sciences; meta analysis (62P10) Optimal statistical designs (62K05) Nonparametric estimation (62G05)

Related Items (2)

Robust allocation schemes for clinical trials with prognostic factors ⋮ Optimal extrapolation designs for a partly linear model

Cites Work

• Linear estimation for approximately linear models
• Smoothing by spline functions.
• A completely automatic french curve: fitting spline functions by cross validation
• Minimax Weights in a Trend Detection Problem of a Random Process

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