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The Joinpoint-Jump and Joinpoint-Comparability Ratio Model for Trend Analysis with Applications to Coding Changes in Health Statistics

Analysis of trends in health data collected over time can be affected by instantaneous changes in coding that cause sudden increases/decreases, or “jumps,” in data. Despite these sudden changes, the underlying continuous trends can present valuable information related to the changing risk profile of...

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Библиографические подробности
Опубликовано в: :J Off Stat
Главные авторы: Chen, Huann-Sheng, Zeichner, Sarah, Anderson, Robert N., Espey, David K., Kim, Hyune-Ju, Feuer, Eric J.
Формат: Artigo
Язык:Inglês
Опубликовано: 2020
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Online-ссылка:https://ncbi.nlm.nih.gov/pmc/articles/PMC7380682/
https://ncbi.nlm.nih.gov/pubmed/32713989
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.2478/jos-2020-0003
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