Regression modelRegression / GLM
混合效应模型
混合效应模型（或称线性混合模型）通过同时包含固定效应——即所有观测值共有的总体水平参数——和随机效应——捕捉个体、组或聚类水平的变异性——来扩展普通回归。它是重复测量、纵向和多层次数据的标准工具，因为同一单元内的观测值是相关的。
阅读完整方法
仅限会员
登录使用免费账户登录即可阅读本节。
Method map
The neighbourhood of related methods — select a node to explore.
+5 more
来源
- Laird, N. M., & Ware, J. H. (1982). Random-effects models for longitudinal data. Biometrics, 38(4), 963–974. DOI: 10.2307/2529876 ↗
- Pinheiro, J. C., & Bates, D. M. (2000). Mixed-Effects Models in S and S-PLUS. Springer. ISBN: 978-0387989570
如何引用本页
ScholarGate. (2026, June 3). Linear Mixed Effects Model. ScholarGate. https://scholargate.app/zh/statistics/mixed-effects-model
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
Compare side by side →