Chapter title |
Multiple comparison of trends in cancer rates taking into account overlapping cases().
|
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Chapter number | 33 |
Book title |
Modern Mathematical Tools and Techniques in Capturing Complexity
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Published in |
Understanding Complex Systems, January 2011
|
DOI | 10.1007/978-3-642-20853-9_33 |
Pubmed ID | |
Book ISBNs |
978-3-64-220852-2, 978-3-64-220853-9
|
Authors |
Martín, Nirian, Li, Yi, Nirian Martín, Yi Li |
Abstract |
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. |
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