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首页> 外文期刊>Journal of applied statistics >Is it even rainier in North Vancouver? A non-parametric rank-based test for semicontinuous longitudinal data
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Is it even rainier in North Vancouver? A non-parametric rank-based test for semicontinuous longitudinal data

机译：北温哥华甚至更加涟漪吗？基于非连续纵向数据的非参数秩的测试

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摘要

When the outcome of interest is semicontinuous and collected longitudinally, efficient testing can be difficult. Daily rainfall data is an excellent example which we use to illustrate the various challenges. Even under the simplest scenario, the popular 'two-part model', which uses correlated random-effects to account for both the semicontinuous and longitudinal characteristics of the data, often requires prohibitively intensive numerical integration and difficult interpretation. Reducing data to binary (truncating continuous positive values to equal one), while relatively straightforward, leads to a potentially substantial loss in power. We propose an alternative: using a non-parametric rank test recently proposed for joint longitudinal survival data. We investigate the potential benefits of such a test for the analysis of semicontinuous longitudinal data with regards to power and computational feasibility.
机译：当感兴趣的结果是半连续的并且纵向收集时，有效的测试可能是困难的。每日降雨数据是我们用于说明各种挑战的优秀例子。即使在最简单的场景下，流行的“两部分模型”，使用相关随机效应以考虑数据的半连续和纵向特征，通常需要普及密集的数值积分和难度解释。将数据减少到二进制（截断连续正值为相等），同时相对简单地导致电力的潜在大量损失。我们提出了一种替代方案：最近建议使用非参数秩检验进行关节纵向存活数据。我们研究了这种测试对用于电力和计算可行性的半连续纵向数据的潜在好处。

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