A nonparametric regression method for multiple longitudinal phenotypes using multivariate adaptive splines
- 时间：0
- 分类：O212.7[理学—概率论与数理统计;理学—数学] S572.03[农业科学—烟草工业;农业科学—作物学]
- 作者机构：[1]Key Laboratory for Applied Statistics of MOE, School of Mathematics and Statistics Northeast Normal University, Changchun 130024, China, [2]Department of Epidemiology and Public Health, Yale University School of Medicine, New Haven, CT 06520-8034, USA
- 相关基金：The authors thank two anonymous referees for their constructive comments and suggestions. This work was supported by grant R01 DA016750-09 from the National Institute on Drug Abuse. Zhu＇s work was also supported by the National Natural Science Foundation of China （Grant No. 11001044）, the Yhndamental Research ~nds for the Central Universities （11CXPY007, 10JCXK001）, the Natural Science Foundation of Jilin Province （Grant No. 201215007）, the Scientific Research Foundation for Returned Scholars, MOE of China, and the Program for Changjiang Scholars and Innovative Research Team in University. The Framingham Heart Study project is conducted and supported by the National Heart, Lung, and Blood Institute （NHLBI） in collaboration with Boston University （N01 HC25195）. The Framingham data used for the analyses described in this manuscript were obtained through dbGaP （phs000128.v3.p3）.
关键词：
表型分析, 非参数回归, 回归方法, 自适应, 样条, 基因分析, 精神疾病, 时间点, Multivariate phenotypes, longitudinal data analysis, geneticassociation test, multivariate adaptive regression splines
中文摘要：
E-mail： heping.zhang@yale.edu
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