核平滑半参数回归模型在重复测量资料中的应用  

Kernel Smoothing Semiparametric Models for Repeated Measurement Data

作　　者：郭波涛[1] 易东[1] 王文昌[1] 

机构地区：[1]第三军医大学卫生统计学教研室,400038

出　　处：《中国卫生统计》2007年第5期456-458,共3页Chinese Journal of Health Statistics

基　　金：国家自然基金资助(60371034)

摘　　要：目的探讨应用核平滑的半参数模型处理重复测量资料。方法利用核平滑和带约束的最小二乘法估计参数,并采用Bootstrap建立可信区间。结果用Matlab程序应用模拟数据得到相应结果。结论核平滑半参数模型可作为处理重复测量资料的一种方法。Objective To apply kernel smoothing semiparametric models for repeated measurement data. Methods Estimated the parameters, nonparameters using kernel function and least squares estimate with constrained condition, finally obtained confidence interval by bootstrap methods. Results Applied our method to simulated data, and get desirable results. Conclusion Kernel smoothing semiparametric models is a simply method to process repeated measurement data.

关 键 词：核平滑 半参数模型 重复测量 

分 类 号：R195[医药卫生—卫生统计学]