Estimating Poultry Aspergillosis Prevalence and Diagnostic Accuracy of Histopathological and Mycological Culture in Côte d’Ivoire Using Bayesian Latent Class Analysis

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Description:
This dataverse contains the R script used in the article titled: "Estimating Poultry Aspergillosis Prevalence and Diagnostic Accuracy of Histopathological and Mycological Culture in Côte d’Ivoire Using Bayesian Latent Class Analysis" and submitted for publication in Mycology: An International Journal of Fungal Biology in November 2023.
Author(s):
Dufour, Simon

Dufour, Simon

Université de Montréal
0000-0001-6418-0424
Contributor(s):
Dufour, Simon
Source Repository:
Université de Montréal Dataverse
Series:
Simon Dufour – Dataverse
Publisher(s):
Borealis
Access:
Public
URL:
https://doi.org/10.5683/SP3/4UW62J
Publication date:
2023-11-03
Subjects:
Medicine, Health and Life Sciences, Agricultural Sciences
Identifier:
https://doi.org/10.5683/SP3/4UW62J

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Citation

APA Citation:
Dufour, S. (2023). Estimating Poultry Aspergillosis Prevalence and Diagnostic Accuracy of Histopathological and Mycological Culture in Côte d’Ivoire Using Bayesian Latent Class Analysis [Data set]. Université de Montréal Dataverse. https://doi.org/10.5683/SP3/4UW62J
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