Reducing Exposure Measurement Error Using Disease Risk Scores
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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ژورنال
عنوان ژورنال: ISEE Conference Abstracts
سال: 2020
ISSN: 1078-0475
DOI: 10.1289/isee.2020.virtual.o-os-639