cardiac-arrest 发表于 2025-3-23 11:22:01
Inference for the Random Effects,and the variance components in . and in all ∑.), it is often useful to calculate estimates for the random effects . as well, since they reflect how much the subject-specific profiles deviate from the overall average profile. Such estimates can then be interpreted as residuals which may be helpful fo傲慢物 发表于 2025-3-23 15:33:43
http://reply.papertrans.cn/59/5864/586335/586335_12.pngPalpate 发表于 2025-3-23 20:08:43
Local Influence for the Linear Mixed Model,ensitive to peculiar observations. The data analyst should be aware of particular observations that have an unusually large influence on the results of the analysis. Such cases may be found to be completely appropriate and retained in the analysis, or they may represent inappropriate data and may beNegligible 发表于 2025-3-24 01:39:16
The Heterogeneity Model,sarily normally distributed. Their so-called heterogeneity model assumes the random effects to be sampled from a mixture of normal distributions rather than from just one single normal distribution. This not only extends the assumption about the random-effects distribution to a very broad class of dMAIM 发表于 2025-3-24 03:20:49
http://reply.papertrans.cn/59/5864/586335/586335_15.png带子 发表于 2025-3-24 08:24:07
Exploring Incomplete Data,vel standpoint (Figures 4.1 and 4.5) as well as from the population-averaged or group-averaged perspective (Figures 4.2, 4.3, 4.4, and 10.3). These plots are designed to focus on various structural aspects, such as the mean structure, the variance function, and the association structure..An extra leCORE 发表于 2025-3-24 12:25:42
Pattern-Mixture Models,tle is often known, has been extensively documented. See also Sections 15.3, 15.4, 17.1, 17.2.2, and 17.5. This has lead to growing interest in pattern-mixture modeling, based on the factorization (15.2) (Little 1993, Glynn, Laird and Rubin 1986, Hogan and Laird 1997). After initial mention of patteFrenetic 发表于 2025-3-24 17:57:09
Sensitivity Analysis for Selection Models, specific challenges related to sensitivity to modeling assumptions. Even when the linear mixed model would beyond any doubt be the choice of preference to describe the measurement process ., then the analysis of the actually observed, incomplete version is subject still to further untestable modeli未成熟 发表于 2025-3-24 21:39:53
http://reply.papertrans.cn/59/5864/586335/586335_19.pngANTI 发表于 2025-3-24 23:33:37
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