Nonparametric models for clustered data: Application to root survival study

DOI10.1080/10485250310001622893zbMath1052.62098OpenAlexW2033074703MaRDI QIDQ4819557

Yunling Du, David M. Eissenstat, Michael G. Akritas

Publication date: 27 September 2004

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

Full work available at URL: https://doi.org/10.1080/10485250310001622893

zbMATH Keywords

tiesrandom effectssimulationscensoringordinal datanonparametric modelingmixed designs

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Testing in survival analysis and censored data (62N03)

Cites Work

• A unified approach to rank tests for mixed models
• Nonparametric Models and Methods for Designs with Dependent Censored Data: Part I
• Tensor Analysis of ANOVA Decomposition
• Fully Nonparametric Hypotheses for Factorial Designs I: Multivariate Repeated Measures Designs
• Correlated individual frailty: An advantageous approach to survival analysis of bivariate data
• Nonparametric Hypotheses and Rank Statistics for Unbalanced Factorial Designs
• Nonparametric Methods for Factorial Designs With Censored Data
• Regression Analysis of Multivariate Grouped Survival Data
• Linear Regression Analysis for Highly Stratified Failure Time Data
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