This means that the linear regression model that assumes that the responses are independent cannot be used to provide valid statistical inferences. In this study, we used the logistic mixed effects model54 to account for correlation between the repeated measurements in the BP data. The logistic ...
回复嘎嘎嘎:医咖会目前还木有关于混合模型的教程,可以再看看:Liu, Baisen, Wang, Liangliang, Cao, Jiguo. Estimating functional linear mixed-effects regression models[J]. Computational Statistics & Data Analysis, 106:153-164. J. Chambers, W. Eddy, W. Härdle,等. Fitting Linear Mixed-Effects Models...
Linear Mixed-effects Regression , Item-wise Random Effects , and the Analysis of Event-related Potentials .Tremblay, AntoineNewman, Aaron J
Andrew Gelman在Bayesian data analysis(BDA)此书里总结了几点mixed effect model的优点: (1).Handling Data with Varying Levels of Analysis. 这一点也是最众所周知的使用mixed effect model的好处,当数据有多个组别时,例如不同地域的家长收入预测学生成绩等等等,使用mixed effect model可以对每个地域的收入和学生成...
• Brauer, M., & Curtin, J. J. (2018). Linear mixed-effects models and the analysis of nonindependent data: A unified framework to analyze categorical and continuous independent variables that vary within-subjects and/or within-items.Psychological Methods, 23(3), 389–411.https://doi.org...
effects model consists of two parts, fixed effects and random effects. Fixed-effects terms are usually the conventional linear regression part, and the random effects are associated with individual experimental units drawn at random from a population. The random effects have prior distributions whereas...
Mixed-effects models for conditional quantiles with longitudinal data. In a simulation study, the proposed quantile mixed-effects regression is shown to model the dependence among longitudinal data correctly and estimate the ... Yuan,Liu,Matteo,... - 《International Journal of Biostatistics》 被引量...
Mixed linear models describe the dependence via random effects in multivariate normal survival data. Recently they have received considerable attention in ... ID Ha,Y Lee,JK Song - 《Lifetime Data Analysis》 被引量: 56发表: 2002年 Mixed-Effects Poisson Regression Models for Meta-Analysis of Fol...
Linear Mixed-effects Models (LMMs) have become increasingly popular as a data analysis method in the psychological sciences. They are also known as hierarchical or multilevel or random effects models (Snijders & Bosker, 2011). LMMs are warranted when data are collected according to a multi-stage...
2.6Data synthesis and statistical analysis All data were analyzed using Stata (version 16.0) and Cochrane Collaboration software (RevMan version 5.3). We used the bivariate mixed-effects regression model to calculate the pooled sensitivity, pooled specificity, positive likelihood ratio (PLR), negative...