Dynamic prediction of disease progression for leukemia patients by functional principal component analysis of longitudinal expression levels of an oncogene
DOI10.1214/17-AOAS1050zbMath1380.62261OpenAlexW2762411923MaRDI QIDQ1684242
Xiao Lin, Fang-Rong Yan, Xuelin Huang
Publication date: 8 December 2017
Published in: The Annals of Applied Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1214/17-aoas1050
survival analysisfunctional principal component analysisjoint modelingdynamic predictionlongitudinal biomarker
Factor analysis and principal components; correspondence analysis (62H25) Applications of statistics to biology and medical sciences; meta analysis (62P10) Medical applications (general) (92C50) Reliability and life testing (62N05)
Related Items (1)
This page was built for publication: Dynamic prediction of disease progression for leukemia patients by functional principal component analysis of longitudinal expression levels of an oncogene