Classification of Therapy Resistance Based on Longitudinal Biomarker Profiles
Classification of Therapy Resistance Based on Longitudinal Biomarker Profiles
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DOI：
10.1002/bimj.200800157
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发表时间：
2009-08-01
影响因子：
1.7
通讯作者：
Grunert, Veit Peter
中科院分区：
文献类型：
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作者：
Kohlmann, Mareike;Held, Leonhard;Grunert, Veit Peter
为了根据纵向病毒载量特征将患者分类为对HIV治疗耐药或不耐药，我们应用了纵向二次判别分析并检查了主要来自Brier评分的各种指标，以评估生物标志物在区分和校准方面的性能。应用数据的分析显示，通过使用更长的曲线而不是单一生物标志物测量，性能有所提高。模拟结果表明，选择混合模型估计组特异性判别规则参数应基于BIC，而不是最佳性能的措施。不正确的模型选择可能会导致误分类和分类确定性方面的虚假更好或更差的性能，特别是随着轮廓长度的增加和具有随机斜率的更复杂的模型。
To classify patients either as resistant or non-resistant to HIV therapy based on longitudinal viral load profiles, we applied longitudinal quadratic discriminant analysis and examined various measures, mainly derived from the Brier Score, to assess the biomarker performance in terms of discrimination and calibration. The analysis of the application data revealed an increase in performance by using longer profiles instead of single biomarker measurements. Simulations showed that the selection of mixed models for the estimation of the group-specific discriminant rule parameters should be based on BIC, rather than on the best performance measure. An incorrect model selection can lead to spuriously better or worse performance as misclassification and classification certainty regards, especially with increasing length of the profiles and for more complex models with random slopes.