Extending existing structural identifiability analysis methods to mixed-effects models
نویسندگان
چکیده
منابع مشابه
Identifiability in linear mixed effects models
In mixed effects model, observations are a function of fixed and random effects and an error term. This structure determines a very specific structure for the variances and covariances of these observations. Unfortunately, the specific parameters of this variance/covariance structure might not be identifiable. Nonidentifiability can lead to complications in numerical estimation algorithms or wo...
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ژورنال
عنوان ژورنال: Mathematical Biosciences
سال: 2018
ISSN: 0025-5564
DOI: 10.1016/j.mbs.2017.10.009