Modifications to the Patient Rule-Induction Method that utilize non-additive combinations of genetic and environmental effects to define partitions that predict ischemic heart disease.

Modifications to the Patient Rule-Induction Method that utilize non-additive combinations of genetic and environmental effects to define partitions that predict ischemic heart disease.
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对患者规则归纳方法的修改,利用遗传和环境影响的非加性组合来定义预测缺血性心脏病的分区。

DOI:
10.1002/gepi.20383
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发表时间:
2009-05
影响因子:
2.1
通讯作者:
Sing, Charles F.
Sing, Charles F.
中科院分区:
医学4区
文献类型:
--
作者:
Dyson, Greg;Frikke-Schmidt, Ruth;Nordestgaard, Borge G.;Tybjaerg-Hansen, Anne;Sing, Charles F.

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本文扩展了患者规则归纳法(PRIM),用于建模疾病的累积发病率,包括同时考虑预测变量的非加性组合、每个组合的显着性检验、多重检验的调整以及每个分区中疾病累积发病率估计的置信区间。我们采用组合划分方法 (CPM) 的划分算法组件来构建预测变量的组合,使用排列测试来评估每个组合的重要性,采用合并多重测试调整的理论论证和引导重采样来生成置信区间。本文利用哥本哈根城市心脏研究中 2258 名欧洲男性参与者的样本对修订后的 PRIM 进行了说明,该样本评估了遗传变异在预测超出既定危险因素的缺血性心脏病存在方面的效用。
This paper extends the Patient Rule-Induction Method (PRIM) for modeling cumulative incidence of disease developed by to include the simultaneous consideration of non-additive combinations of predictor variables, a significance test of each combination, an adjustment for multiple testing and a confidence interval for the estimate of the cumulative incidence of disease in each partition. We employ the partitioning algorithm component of the Combinatorial Partitioning Method (CPM) to construct combinations of predictors, permutation testing to assess the significance of each combination, theoretical arguments for incorporating a multiple testing adjustment and bootstrap resampling to produce the confidence intervals. An illustration of this revised PRIM utilizing a sample of 2258 European male participants from the Copenhagen City Heart Study is presented that assesses the utility of genetic variants in predicting the presence of ischemic heart disease beyond the established risk factors.
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