混合效应模型(Mixed-Effects Models) 方差分析和多元回归的这些缺点可以通过使用线性混合效应模型(也被称为multilevel modeling或mixed modeling)来避免。混合效应模型允许研究者在研究感兴趣的条件的同时,也考虑到参与者和项目内部和之间的变化。它还能很好地处理缺失数据和不平衡设计;尽管当一个值缺失时,观察值会被移除...
出版年:2013-2 页数:574 定价:$ 168.37 装帧:Hardcover 丛书:Springer Texts in Statistics ISBN:9781461438991 豆瓣评分 评价人数不足 评价: 写笔记 写书评 加入购书单 分享到 推荐 内容简介· ··· Linear mixed-effects models (LMMs) are an important class of statistical models that can be used to an...
• Brown, V. A. (2021). An introduction to linear mixed-effects modeling in R.Advances in Methods and Practices in Psychological Science, 4(1), 1, 1–19.https://doi.org/10.1177/2515245920960351 • DeBruine, L. M., & Barr, D. J. (2021). Understanding mixed-effects models through...
Linear mixed modeling is a statistical approach with widespread applications in longitudinal data analysis. Given a considerable body of linear mixed modeling techniques, this chapter is focused on the general specifications, basic inferences, and estimating procedures of the fixed effects in the presence...
Mixed-effects modeling with crossed random effects for subjects and items Journal of Memory and Language (2008) D.J. Barr et al. Random effects structure for confirmatory hypothesis testing: Keep it maximal Journal of Memory and Language (2013) M.P. Boisgontier et al. The ANOVA to mixed mod...
Linear mixed effects models LMMs are powerful modeling tools that allow for the analysis of datasets with complex hierarchical structures Intensive research during the past decade has led to a better understanding of their properties The growing body of literature including recent monographs has ...
Linear mixed-effects (LME) modeling is a widely used statistical method for analyzing repeated measures or longitudinal data. Such longitudinal studies typ... LG Maldonado 被引量: 1发表: 2012年 Linear Mixed Models provides a basic introduction to primary concepts, notation, software implementation, ...
[1] Pinherio, J. C., and D. M. Bates.Mixed-Effects Models in S and S-PLUS. Statistics and Computing Series, Springer, 2004. [2] Hariharan, S. and J. H. Rogers. “Estimation Procedures for Hierarchical Linear Models.”Multilevel Modeling of Educational Data(A. A. Connell and D. ...
For many years, the application of mixed-effects modeling has received much attention for predicting scenarios in the fields of theoretical and applied sci... D Bates,M Maechler,B Bolker 被引量: 2731发表: 2013年 lme4: Linear mixed-effects models using S4 classes A Step-by-Step Approach BD...
Linear Mixed effect Models are becoming a common statistical tool for analyzing data with a multilevel structure. I will start by introducing the concept of multilevel modeling where we will see that such models are a compromise between two extreme: complete pooling and no pooling. Then I will...