Comparison of Frequentist and Bayesian Meta-Analysis Models for Assessing the Efficacy of Decision Support Systems in Reducing Fungal Disease Incidence

Comparison of Frequentist and Bayesian Meta-Analysis Models for Assessing the Efficacy of Decision Support Systems in Reducing Fungal Disease Incidence

Diseases of fruit and foliage caused by fungi and oomycetes are generally controlled by the application of fungicides. The use of decision support systems (DSSs) may assist to optimize fungicide programs to enhance application on the basis of risk associated with disease outbreak. Case-by-case evalu...

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Bibliographic Details
Main Authors:	Elena Lázaro, David Makowski, Joaquín Martínez-Minaya, Antonio Vicent
Format:	Article
Language:	English
Published:	MDPI AG 2020-04-01
Series:	Agronomy
Subjects:	Bayesian models confidence/credibility intervals disease management epidemiological models generalized linear mixed models incidence ratio
Online Access:	https://www.mdpi.com/2073-4395/10/4/560

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