Mixed models for longitudinal left-censored repeated measures.

Thiebaut R; Jacqmin Gadda H

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Mixed models for longitudinal left-censored repeated measures.

机译：纵向左删节重复测量的混合模型。

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Longitudinal studies could be complicated by left-censored repeated measures. For example, in Human Immunodeficiency Virus infection, there is a detection limit of the assay used to quantify the plasma viral load. Simple imputation of the limit of the detection or of half of this limit for left-censored measures biases estimations and their standard errors. In this paper, we review two likelihood-based methods proposed to handle left-censoring of the outcome in linear mixed model. We show how to fit these models using SAS((R)) Proc NLMIXED and we compare this tool with other programs. Indications and limitations of the programs are discussed and an example in the field of HIV infection is shown.

机译：纵向研究可能会因左删节重复措施而变得复杂。例如，在人类免疫缺陷病毒感染中，用于定量血浆病毒载量的检测方法存在检测极限。对左删减量度的检测极限或该极限的一半的简单推定会使估计及其标准误产生偏差。在本文中，我们回顾了提出的两种基于似然方法来处理线性混合模型中结果的左删失。我们展示了如何使用SAS Proc NLMIXED拟合这些模型，并将此工具与其他程序进行了比较。讨论了该程序的适应症和局限性，并举例说明了HIV感染领域。

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《Computer Methods and Programs in Biomedicine: An International Journal Devoted to the Development, Implementation and Exchange of Computing Methodology and Software Systems in Biomedical Research and Medical Practice》 |2004年第3期|共6页
作者
Thiebaut R; Jacqmin Gadda H;
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正文语种 eng
中图分类临床医学;
关键词
Mixed; estimation; SAS; Viral;

机译：混合;估计;SAS;病毒;

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1. Mixed models for longitudinal left-censored repeated measures. [J] . Thiebaut R, Jacqmin Gadda H Computer Methods and Programs in Biomedicine: An International Journal Devoted to the Development, Implementation and Exchange of Computing Methodology and Software Systems in Biomedical Research and Medical Practice . 2004,第3期

机译：纵向左删节重复测量的混合模型。
2. A review of two different approaches for the analysis of growth data using longitudinal mixed linear models: Comparing hierarchical linear regression (ML3, HLM) and repeated measures designs with structured covariance matrices (BMDP5V) [J] . Rien van der Leeden, Karen Vrijburg, Jan de Leeuw Computational statistics & data analysis . 1996,第5期

机译：使用纵向混合线性模型分析生长数据的两种不同方法的综述：比较分层线性回归（ML3，HLM）和具有结构化协方差矩阵（BMDP5V）的重复测量设计
3. Improved Small Sample Inference Methods for a Mixed-Effects Model for Repeated Measures Approach in Incomplete Longitudinal Data Analysis [J] . Yoshifumi Ukyo, Hisashi Noma, Kazushi Maruo, Stats . 2019,第2期

机译：在不完全纵向数据分析中改进了用于反复测量方法的混合效应模型的小样本推理方法
4. The impact of varying the number of repeated choice observations on the mixed multinomial logit model [C] . John M. Rose, Stephane Hess, Michiel C.J. Bliemer, Transportation Research Board Annual meeting . 2011

机译：改变重复选择观察次数对混合多项式logit模型的影响
5. Identifying patterns in behavioral public health data using mixture modeling with an informative number of repeated measures. [D] . Yu, Gary. 2014

机译：使用混合模型和大量重复措施来识别行为公共卫生数据中的模式。
6. Joint Modeling of Longitudinal and Survival Data with Missing and Left-Censored Time-Varying Covariates [O] . Qingxia Chen, Ryan C. May, Joseph G. Ibrahim, -1

机译：纵向和生存数据的联合建模与缺少和左删失的时变协变量
7. Mixed models for longitudinal left-censored repeated measures. [O] . Thiébaut, Rodolphe, Jacqmin-Gadda, Hélène 2004

机译：纵向左删节重复测量的混合模型。
8. Censored Observations, Repeated Measures and Mixed Effects Models: An Approach Using the EM Algorithm and Normal Errors [R] . Pettitt, A. N. 1984

机译：截尾观测，重复测量和混合效应模型：使用Em算法和正常误差的方法

Mixed models for longitudinal left-censored repeated measures.

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