Bayesian estimation of sensitivity and specificity of a commercial milk pregnancy-associated glycoprotein ELISA test between 23 and 27 days after breeding in dairy cows.

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Description:
This dataverse contains the dataset and R scripts (as RMarkdown html documents) describing the different analyses conducted in the mentioned article on estimation of PAG diagnostic test accuracy when applied to dairy cows between 23-27 days post-breeding.
Author(s):
Durocher, Jean

Durocher, Jean

Lactanet
, Moore, Robert K.

Moore, Robert K.

Lactanet
, Albaaj, Ahmad

Albaaj, Ahmad

Université de Montréal
, Stephen Leblanc

Stephen Leblanc

University of Guelph
, and Dufour, Simon

Dufour, Simon

Université de Montréal
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/EEQMRL
Publication date:
2021-10-22
Subjects:
Medicine, Health and Life Sciences, Mathematical Sciences, and Agricultural Sciences
Keywords:
Dairy cattle, Pregnancy-associated glycoprotein, Diagnostic accuracy, Sensitivity and specificity, Latent class models, and Bayesian estimation
Identifier:
https://doi.org/10.5683/SP3/EEQMRL

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Citation

APA Citation:
Durocher, J., Moore, R. K., Albaaj, A., Leblanc, S., & Dufour, S. (2021). Bayesian estimation of sensitivity and specificity of a commercial milk pregnancy-associated glycoprotein ELISA test between 23 and 27 days after breeding in dairy cows. [Data set]. Université de Montréal Dataverse. https://doi.org/10.5683/SP3/EEQMRL
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