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Activity Number:
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352
- Clinical Trials: Recent Advances in Design and Inference
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Type:
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Contributed
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Date/Time:
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Tuesday, July 31, 2018 : 10:30 AM to 12:30 PM
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Sponsor:
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Korean International Statistical Society
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Abstract #327074
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Title:
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Flexible Stochastic Growth Models and Their Experimental Design
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Author(s):
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Nikolaos Demiris* and Konstantinos Kalogeropoulos and Nikolas Kantas
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Companies:
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Athens University of Economics and Business and London School of Economics and Imperial College London
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Keywords:
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Growth curves;
Monte Carlo;
Non-linear mixed models;
optimal design;
Stochastic differential equations
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Abstract:
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Growth models represent a cornerstone in a number of scientific disciplines like medicine, economics and biology. This work is concerned with flexible stochastic processes appropriate for the description of growth phenomena. Motivated by a real dataset on broiler chickens, we embed a wide class of non-linear mixed models within a general diffusion framework and focus on the issue of experimental design. The developed methodology allows to identify the optimal design in this context using sequential Monte Carlo techniques.
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Authors who are presenting talks have a * after their name.
