Linear mixed-effect (LME) models have been extensively accepted to analyse repeated measurements due to their flexibility and ability to handle subject-specific matters. The inclusion of random effects has resulted in much benefit with respect to estimation, but it is complicated to measure their ...
Estimation of relative clearance of cyclosprine A in patients after renal transplantation using nonlinear mixed effect model; 非线性混合效应模型法估算肾移植患者环孢素A清除率 更多例句>> 6) mixed effects linear model 混合效应线性模型 1. Objective: In this article,a repeated measures data was anal...
As indicated in Chapter 2, in a one-factor repeated measures ANOVA, Yij can be expressed in terms of a general linear model, given by (3.1)Yij=μ+bi+τj+ɛij, where μ is the grand mean, bi is the subject i’s deviation from μ assumed to be constant over time, τj is the ...
One such variant is the mixed-effect model. These models include additional random-effect terms and are appropriate in representing clustered, and therefore, dependent data arising when data are collected over time on the same entities; that is, these repeated measures data are generated by ...
Linear mixed-effects models are frequently used to analyze repeated measures data, because they model flexibly the within-subject correlation often present... JC Pinheiro,LYN Wu - 《Journal of Computational & Graphical Statistics》 被引量: 411发表: 2001年 Analysis of left-censored longitudinal data...
In our repeated measures example (8.2) the treatment is a fixed effect, and the subject is a random effect. In our bottle-caps example (8.3) the time (before vs. after) is a fixed effect, and the machines may be either a fixed or a random effect (depending on the purpose of inferen...
Objective Because of correlation among repeated measures data and its hierarchical error, it is not suitable to use ordinal method.Methods A example of repeated measurement was analyzed with mixed model using MIXED procedure.Results Repeated measurement obtained reasonable results by the fixed and random...
(1995). Nonlinear Models for Repeated Measurement Data. Chapman & Hall. Demidenko, E. (2004). Mixed Models: Theory and Applications. Wiley-Interscience, first ed. Fai, A., & Cornelius, P. (1996). Approximate F-tests of multiple degree of freedom hypotheses in generalized least squares ...
Studies of HIV viral dynamics, often considered to be a key issue in AIDS research, considers repeated/longitudinal measures over a period of treatment routinely analyzed using linear and non-linear mixed-effects models (LME/NLME) to assess rates of changes in HIV-1 RNA level or viral load (...
It is used with balanced repeated-measures designs with spherical correlation error structures. It partitions the residual degrees of freedom into the between-subject degrees of freedom and the within-subject degrees of freedom. repeated is supported only with two-level models. For more complex mixed...