کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
7457819 | 1484526 | 2015 | 10 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Comparison of estimation methods for creating small area rates of acute myocardial infarction among Medicare beneficiaries in California
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کلمات کلیدی
موضوعات مرتبط
علوم پزشکی و سلامت
پزشکی و دندانپزشکی
سیاست های بهداشت و سلامت عمومی
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چکیده انگلیسی
Creating local population health measures from administrative data would be useful for health policy and public health monitoring purposes. While a wide range of options - from simple spatial smoothers to model-based methods - for estimating such rates exists, there are relatively few side-by-side comparisons, especially not with real-world data. In this paper, we compare methods for creating local estimates of acute myocardial infarction rates from Medicare claims data. A Bayesian Monte Carlo Markov Chain estimator that incorporated spatial and local random effects performed best, followed by a method-of-moments spatial Empirical Bayes estimator. As the former is more complicated and time-consuming, spatial linear Empirical Bayes methods may represent a good alternative for non-specialist investigators.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Health & Place - Volume 35, September 2015, Pages 95-104
Journal: Health & Place - Volume 35, September 2015, Pages 95-104
نویسندگان
Laura C. Yasaitis, Mariana C. Arcaya, S.V. Subramanian,