Dynamic longitudinal discriminant analysis using multiple longitudinal markers of different types.
Dynamic longitudinal discriminant analysis using multiple longitudinal markers of different types.
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DOI：
10.1177/0962280216674496
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发表时间：
2018-07
影响因子：
2.3
通讯作者：
Garcia-Fiñana M
中科院分区：
文献类型：
--
作者：
Hughes DM;Komárek A;Czanner G;Garcia-Fiñana M
在临床研究中出现了通过最佳地整合多变量临床信息来准确预测患者的疾病状态和疾病进展的需求。临床数据通常随时间收集不同类型的多种生物标志物（例如连续、二进制和计数）。在本文中，我们提出了一个灵活的和动态的（时间依赖性）判别分析方法，其中多种类型的生物标志物联合建模的多变量广义线性混合模型的分类目的。我们提出了一个混合的正态分布的随机效应，以允许额外的灵活性时，建模的复杂相关性的纵向生物标志物和robustify的模型和分类程序对误指定的随机效应分布。这些纵向模型随后用于多变量时间依赖判别方案，以预测在任何时间点属于特定风险组的概率。该方法使用癫痫患者的临床数据进行说明，其目的是确定在五年随访期内无法缓解癫痫发作的患者。
There is an emerging need in clinical research to accurately predict patients’ disease status and disease progression by optimally integrating multivariate clinical information. Clinical data are often collected over time for multiple biomarkers of different types (e.g. continuous, binary and counts). In this paper, we present a flexible and dynamic (time-dependent) discriminant analysis approach in which multiple biomarkers of various types are jointly modelled for classification purposes by the multivariate generalized linear mixed model. We propose a mixture of normal distributions for the random effects to allow additional flexibility when modelling the complex correlation between longitudinal biomarkers and to robustify the model and the classification procedure against misspecification of the random effects distribution. These longitudinal models are subsequently used in a multivariate time-dependent discriminant scheme to predict, at any time point, the probability of belonging to a particular risk group. The methodology is illustrated using clinical data from patients with epilepsy, where the aim is to identify patients who will not achieve remission of seizures within a five-year follow-up period.
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影响因子：
168.9
作者：
Marson, Anthony G.;Al-Kharusi, Asya M.;Alwaidh, Muna;Appleton, Richard;Baker, Gus A.;Chadwick, David W.;Cramp, Celia;Cockerell, Oliver C.;Cooper, Paul N.;Doughty, Julie;Eaton, Barbara;Gamble, Carrot;Goulding, Peter J.;Howell, Stephen J. L.;Hughes, Adrian;Jackson, Margaret;Jacoby, Ann;Kellett, Mark;Lawson, Geoffrey R.;Leach, John Paul;Nicolaides, Paola;Roberts, Richard;Shackley, Phil;Shen, Jing;Smith, David F.;Smith, Philip E. M.;Smith, Catrin Tudur;Vanoli, Alessandra;Williamson, Paula R.
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Williamson, Paula R.
影响因子：
2
作者：
Litiere, S.;Alonso, A.;Molenberghs, G.
通讯作者：
Molenberghs, G.
影响因子：
1.8
作者：
Komarek, Arnost;Komarkova, Lenka
通讯作者：
Komarkova, Lenka
影响因子：
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作者：
Kohlmann, Mareike;Held, Leonhard;Grunert, Veit Peter
通讯作者：
Grunert, Veit Peter
影响因子：
2
作者：
Komarek, Arnost;Hansen, Bettina E.;Lesaffre, Emmanuel
通讯作者：
Lesaffre, Emmanuel