A non-parametric regression approach to repeated measures analysis in cancer experiments

DOI10.1080/02664769922269zbMath1072.62569OpenAlexW2054164281MaRDI QIDQ4935483

Montse Solanas, Eduardo Escrich Escriche, Maria Carme Ruiz de Villa, M. Salomé E. Cabral

Publication date: 1999

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

Full work available at URL: https://doi.org/10.1080/02664769922269

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Uses Software

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Cites Work

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• Variable bandwidth and local linear regression smoothers
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• An Extension of Box's Results on the Use of the $F$ Distribution in Multivariate Analysis
• Some optimal designs for repeated measurements with autoregressive errors
• Kernel Regression Estimation Using Repeated Measurements Data
• A Distribution-Free Test for Tumor-Growth Curve Analyses with Application to an Animal Tumor Immunotherapy Experiment
• Nested Analysis of Variance with Autocorrelated Errors
• Informative Drop-Out in Longitudinal Data Analysis
• Some Aspects of the Statistical Analysis of "Split Plot" Experiments in Completely Randomized Layouts
• Conditions Under Which Mean Square Ratios in Repeated Measurements Designs Have Exact F-Distributions

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