Rank regression for analysis of clustered data: a natural induced smoothing approach
From MaRDI portal
Publication:962354
DOI10.1016/j.csda.2009.10.015zbMath1464.62074OpenAlexW2002634813MaRDI QIDQ962354
Liya Fu, You-Gan Wang, Zhi-Dong Bai
Publication date: 6 April 2010
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.csda.2009.10.015
Computational methods for problems pertaining to statistics (62-08) Applications of statistics to biology and medical sciences; meta analysis (62P10)
Related Items
Composite quantile regression for correlated data, Induced smoothing for the semiparametric accelerated hazards model, Single-index Thresholding in Quantile Regression, Rank regression for accelerated failure time model with clustered and censored data, Variance estimation in censored quantile regression via induced smoothing, Smoothed quantile regression for censored residual life, Efficient and doubly-robust methods for variable selection and parameter estimation in longitudinal data analysis, Weighted rank tests and Hodges–Lehmann estimates for the multivariate two-sample location problem with clustered data
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