Score tests for association under response-dependent sampling designs for expensive covariates
Score tests for association under response-dependent sampling designs for expensive covariates
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DOI：
10.1093/biomet/asv038
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发表时间：
2015-12-01
期刊：
影响因子：
2.7
通讯作者：
Sun, Lei
中科院分区：
文献类型：
--
作者：
Derkach, Andriy;Lawless, Jerald F.;Sun, Lei
响应相关抽样广泛用于某些变量获取成本较高的情况。估计已被彻底研究，但最近的应用强调了昂贵协变量和响应变量的关联检验。我们考虑测试，并在广泛的抽样计划下为广义线性模型提供易于实现的似然评分测试。我们表明，当没有额外的协变量时，分数统计对于条件似然方法和完全似然方法是相同的，并且具有与普通随机抽样相同的形式。简要讨论了其在遗传学中的应用。
Response-dependent sampling is widely used in settings where certain variables are expensive to obtain. Estimation has been thoroughly investigated but recent applications have emphasized tests of association for expensive covariates and a response variable. We consider testing and provide easily implemented likelihood score tests for generalized linear models under a broad range of sampling plans. We show that when there are no additional covariates, the score statistics are identical for conditional and full likelihood approaches, and are of the same form as for ordinary random sampling. Applications in genetics are discussed briefly.