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Improving the power of chronic disease surveillance by incorporating residential history
We present a global test for disease clustering with power to identify disturbances from the null population distribution which accounts for the lag time between the date of exposure and the date of diagnosis. Location at diagnosis is often used as a surrogate for the location of exposure, however,...
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| 主要な著者: | , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2011
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3133828/ https://ncbi.nlm.nih.gov/pubmed/21563208 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/sim.4272 |
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