Model-Based Clustering and Prediction With Mixed Measurements Involving Surrogate Classifiers
Identification of underlying subpopulations to account for unobserved heterogeneity in the population is a challenging statistical problem, mainly because no explicit information about the latent classes is available. Although latent class analysis via finite mixture models is often used successfull...
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Published in | Statistics in biopharmaceutical research Vol. 14; no. 3; pp. 368 - 379 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Taylor & Francis
03.08.2022
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Subjects | |
Online Access | Get full text |
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