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A Bayesian sensitivity analysis of the effect of different random effects distributions on growth curve models
Growth curve data consist of repeated measurements of a contin uous growth process of human, animal, plant, microbial or bacterial genetic data over time in a population of individuals. A classical approach for analyzing such data is the use of non-linear mixed effects models under normality assumpt...
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2020
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