Two‐stage model for time varying effects of zero‐inflated count longitudinal covariates with applications in health behaviour research
Two‐stage model for time varying effects of zero‐inflated count longitudinal covariates with applications in health behaviour research
复制标题
零膨胀计数纵向协变量时变效应的两阶段模型及其在健康行为研究中的应用
DOI：
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发表时间：
2016
期刊：
影响因子：
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通讯作者：
A. Buu
中科院分区：
文献类型：
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作者：
Hanyu Yang;Runze Li;R. Zucker;A. Buu
这项研究提出了一个两阶段的方法来描述健康风险行为的个体发展轨迹，并描述其对短期或长期健康结果的随时间变化的影响。我们的模型可以适应零膨胀计数和离散结果的纵向协变量。一项著名的高风险青少年药物滥用研究的纵向数据作为一个激励性的例子，以证明该模型在划定预防和干预的关键发展时期的有效性。我们的模拟研究表明，所提出的模型的性能提高的样本大小或时间点的数量增加。当数据中有过多的0时，正则泊松模型不能很好地估计纵向协变量过程或其时变效应。因此，这一结果强调了所提出的模型在处理数据中的零通货膨胀方面所起的重要作用。
This study proposes a two‐stage approach to characterize individual developmental trajectories of health risk behaviours and to delineate their time varying effects on short‐term or long‐term health outcomes. Our model can accommodate longitudinal covariates with zero‐inflated counts and discrete outcomes. The longitudinal data of a well‐known study of youths at high risk of substance abuse are presented as a motivating example to demonstrate the effectiveness of the model in delineating critical developmental periods of prevention and intervention. Our simulation study shows that the performance of the model proposed improves as the sample size or number of time points increases. When there are excess 0s in the data, the regular Poisson model cannot estimate either the longitudinal covariate process or its time varying effect well. This result, therefore, emphasizes the important role that the model proposed plays in handling zero inflation in the data.
戒烟疗法随机试验中与吸烟衰退有关的时变过程。
DOI：
10.1093/ntr/ntt185
发表时间：
2014
期刊：
Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco
影响因子：
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作者：
Vasilenko,SaraA;Piper,MeganE;Lanza,StephanieT;Liu,Xiaoyu;Yang,Jingyun;Li,Runze
通讯作者：
Li,Runze
吸烟量和尼古丁依赖对青少年吸烟规律的随时间变化的影响。
影响因子：
4.2
作者：
Selya,ArielleS;Dierker,LisaC;Rose,JenniferS;Hedeker,Donald;Tan,Xianming;Li,Runze;Mermelstein,RobinJ
通讯作者：
Mermelstein,RobinJ