Dietary patterns and oral and pharyngeal cancer using latent class analysis
نویسندگان
چکیده
منابع مشابه
An application of Measurement error evaluation using latent class analysis
Latent class analysis (LCA) is a method of evaluating non sampling errors, especially measurement error in categorical data. Biemer (2011) introduced four latent class modeling approaches: probability model parameterization, log linear model, modified path model, and graphical model using path diagrams. These models are interchangeable. Latent class probability models express l...
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چکیده ندارد.
15 صفحه اولIdentifying incident oral and pharyngeal cancer cases using Medicare claims
BACKGROUND Baseline and trend data for oral and pharyngeal cancer incidence is limited. A new algorithm was derived using the Surveillance, Epidemiology, and End Results (SEER)-Medicare linked database to create an algorithm to identify incident cases of oral and pharyngeal cancer using Medicare claims. METHODS Using a split-sample approach, Medicare claims' procedure and diagnosis codes were...
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ژورنال
عنوان ژورنال: International Journal of Cancer
سال: 2019
ISSN: 0020-7136,1097-0215
DOI: 10.1002/ijc.32769