A nonparametric regression method for multiple longitudinal phenotypes using multivariate adaptive splines

DOI10.1007/S11464-012-0256-8zbMath1273.62096OpenAlexW2071108289WikidataQ34321443 ScholiaQ34321443MaRDI QIDQ372246

Wensheng Zhu, Heping Zhang

Publication date: 14 October 2013

Published in: Frontiers of Mathematics in China (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc4193387

zbMATH Keywords

longitudinal data analysisgenetic association testmultivariate adaptive regression splinesmultivariate phenotypes

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Multivariate analysis (62H99) Nonparametric hypothesis testing (62G10) Numerical computation using splines (65D07) Applications of statistics to biology and medical sciences; meta analysis (62P10) Genetics and epigenetics (92D10)

Cites Work

• Longitudinal data analysis using generalized linear models
• Multivariate adaptive regression splines
• Why do we test multiple traits in genetic association studies?
• Analysis of Infant Growth Curves Using Multivariate Adaptive Splines
• Mixed effects multivariate adaptive splines model for the analysis of longitudinal and growth curve data
• Nonparametric Covariate-Adjusted Association Tests Based on the Generalized Kendall's Tau
• An Association Test for Multiple Traits Based on the Generalized Kendall’s Tau
• A multivariate family-based association test using generalized estimating equations: FBAT-GEE
• Combining dependent tests for linkage or association across multiple phenotypic traits

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