方法通过两水平随机系数模型以及顺序效应的拟合，估计处理效应的大小及其在个体间的变异。
Methods Fitting two-level random coefficient model and sequence effect to estimate the treatment effect and its variation between individuals.
结论：多变量随机系数模型可有效地进行多变量重复观测数据的动态变化趋势分析以及随机效应分析。
CONCLUSION: multivariate random coefficients model can effectively analyze the dynamic change trend and random effects of multivariate repeated measures data in medical research.
讨论误差相关下半变系数模型的随机约束估计。
The random constrained estimation of semi-varying coefficient models with co-relational errors are discussed in this paper.
在响应变量随机缺失时，研究了半参数变系数模型响应变量均值的借补估计。
We develop imputation estimators of mean of responses for semiparametric varying-coefficient model with response variables missing at random.
在响应变量随机缺失时，研究了半参数变系数模型响应变量均值的借补估计。
We develop imputation estimators of mean of responses for semiparametric varying-coefficient model with response variables missing at random.
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