Multiple comparison of trends in cancer rates taking into account overlapping cases().
Multiple comparison of trends in cancer rates taking into account overlapping cases().
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DOI：
10.1007/978-3-642-20853-9_33
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发表时间：
2011
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在分析癌症发病率趋势时，通常依赖所谓的年度百分比变化 (APC)。为了处理这种趋势衡量标准，通常考虑直接年龄调整率。诸如汇总 t 检验等经典方法通常用于在独立性假设下以简单的方式比较两组个体的 APC。在实践中，经常会发现由于区域或时间段重叠而导致独立性假设失效的利益集团。处理这个问题的论文中没有一篇考虑比较两个以上 APC 的情况。在这项工作中，我们提出了一种 Wald 型检验统计量，一旦我们提供要比较的两个或多个 APC 的估计量，该统计量就不难计算。这些估计器是最小功率散度估计器，其涵盖了通过最大似然获得的特殊情况。
When analyzing trends in cancer rates, it is common to rely on the so-called Annual Percent Change (APC). For dealing with such a measure of trend, directly age-adjusted rates are usually considered. Classical methods such as pooled t-tests are often applied for comparing APCs of two groups of individuals in a simple way under independence assumption. In practice, it is quite common to find groups of interest for which the independence assumption fails because their regions or periods of time overlap. No one of the papers that deal this problem consider the case where more than two APCs are compared. In this work we propose a Wald-type test-statistic which is not difficult to compute once we provide the estimators of two or more APCs to be compared. These estimators are the minimum power divergence estimators that cover as special case those obtained by maximum likelihood.