Importance of Shrinkage in Empirical Bayes Estimates for Diagnostics: Problems and Solutions

By R. Savic, M. O. Karlsson. AAPS Journal, 2009

632 citations recorded by the source corpus.

Subfields: Health Information Management, Molecular Biology, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/50d6d7ec0280eeac82e7f62b1a33784d7611f544

How researchers see this paper

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In Statistics and Probability

1. Andrew C. Hooker
2. M. O. Karlsson
3. R. Savic
4. France Mentré
5. Emmanuelle Comets

Citations in the corpus

• Model Evaluation of Continuous Data Pharmacometric Models: Metrics and Graphics (2017, methodology): “This phenomenon can be quantified by gshrinkage, estimated by 1- SD(EBE)/x or 1var(EBE)/x(2), where x is the interindividual SD estimated in the population model.(10) The fact that IPREDs may tend to the individual observations for more or less sparse designs can be quantified by e-shrinkage, define”