Assessment of score- and Rasch-based methods for group comparison of longitudinal patient-reported outcomes with intermittent missing data (informative and non-informative)

de Bock Elodie; Hardouin Jean-Benoit; Blanchin Myriam; Le Neel Tanguy; Kubis Gildas; Sebille Veronique

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Assessment of score- and Rasch-based methods for group comparison of longitudinal patient-reported outcomes with intermittent missing data (informative and non-informative)

机译：评估基于得分和基于Rasch的方法，对纵向报告的患者报告的结果与间歇性缺失数据（信息性和非信息性）进行组比较

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The purpose of this study was to identify the most adequate strategy for group comparison of longitudinal patient-reported outcomes in the presence of possibly informative intermittent missing data. Models coming from classical test theory (CTT) and item response theory (IRT) were compared.

机译：这项研究的目的是在存在可能提供有益信息的间歇性缺失数据的情况下，确定对纵向患者报告的结果进行分组比较的最合适策略。比较了来自经典测试理论（CTT）和项目响应理论（IRT）的模型。

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《Quality of life research: An international journal of quality of life aspects of treatment, care and rehabilitation》 |2015年第1期|共11页
作者
de Bock Elodie; Hardouin Jean-Benoit; Blanchin Myriam; Le Neel Tanguy; Kubis Gildas; Sebille Veronique;
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正文语种 eng
中图分类医药、卫生;
关键词
IRT; CTT; Rasch models; Longitudinal data; PROs; Missing data;

机译：IRT;CTT;Rasch模型;纵向数据;PROs;缺少数据;

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1. Assessment of score- and Rasch-based methods for group comparison of longitudinal patient-reported outcomes with intermittent missing data (informative and non-informative) [J] . de Bock Elodie, Hardouin Jean-Benoit, Blanchin Myriam, Quality of life research: An international journal of quality of life aspects of treatment, care and rehabilitation . 2015,第1期

机译：评估基于得分和基于Rasch的方法，对纵向报告的患者报告的结果与间歇性缺失数据（信息性和非信息性）进行组比较
2. Bayesian comparison of diagnostic tests with largely non-informative missing data [J] . Paulino Carlos Daniel, Silva Giovani L. Journal of statistical computation and simulation . 2019,第10a12期

机译：贝叶斯诊断测试与大部分非信息缺失数据的诊断测试
3. Sequential analysis of latent variables using mixed-effect latent variable models: Impact of non-informative and informative missing data. [J] . Sebille V, Hardouin JB, Mesbah M Statistics in medicine . 2007,第27期

机译：使用混合效应潜在变量模型对潜在变量进行顺序分析：非信息性和信息性缺失数据的影响。
4. Outcome Based Education Performance Measurement: A Rasch-based Longitudinal Assessment Model to measure Information Management Courses LO's [C] . AZRILAH ABDUL AZIZ, RAHMAN AHLAN, SOHAIMI ZAKARIA, WSEAS International Conference on Simulation, Modelling and Optimization . 2007

机译：基于结果的教育绩效测量：基于RASCH的纵向评估模型来衡量信息管理课程LO
5. Latent variable models for longitudinal data with multiple outcomes, informative dropouts and missing covariates. [D] . Roy, Jason Allen. 2000

机译：具有多个结果，信息缺失和协变量缺失的纵向数据的潜在变量模型。
6. Adjusting for informative missing outcome data in clinical trials with longitudinal study designs [O] . Ruwanthi Kolamunnage-Dona, Colin Powel, Paula Williamson 2013

机译：使用纵向研究设计调整临床试验中的信息缺失结果数据
7. Longitudinal Modeling of Informatively Censored Patient-Reported Outcomes Data in Oncology: Application to a Phase Iii Clinical Trial of Non-Small Cell Lung Cancer [O] . K Houghton, M Boye, L Bowman, 2016

机译：信息审查的患者报告的肿瘤中的结果数据的纵向建模：应用于非小细胞肺癌的III期临床试验

Assessment of score- and Rasch-based methods for group comparison of longitudinal patient-reported outcomes with intermittent missing data (informative and non-informative)

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