Diagnostic evaluation of histopathology, PCR and qPCR to detect Mikrocytos mackini in oysters using Bayesian latent class analysis - collected and generated data

Collected and generated data as well as OpenBugs LCA models as part of: Polinski MP, Laurin E, Delphino MKVC, Lowe GJ, Meyer GR, Abbott CL (2021) Diagnostic evaluation of histopathology, PCR and qPCR to detect Mikrocytos mackini in oysters using Bayesian latent class analysis. Diseases of Aquatic Or...

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Bibliographic Details
Main Authors: Mark Polinski (6313100), Emilie Laurin (3721210), Marina Dephino (8528982), Geoff Lowe (3282807), Gary Meyer (277129), Cathryn L. Abbott (3282810)
Format: Dataset
Language:unknown
Published: 2021
Subjects:
Aquaculture
Veterinary Diagnosis and Diagnostics
Mikrocytos mackini
Pacific oyster
diagnostic test evaluation
quantitative PCR
Bayesian latent class analysis
Abbott
Lowe
Pacific
Online Access:https://doi.org/10.6084/m9.figshare.11931315.v1
Description
Summary:Collected and generated data as well as OpenBugs LCA models as part of: Polinski MP, Laurin E, Delphino MKVC, Lowe GJ, Meyer GR, Abbott CL (2021) Diagnostic evaluation of histopathology, PCR and qPCR to detect Mikrocytos mackini in oysters using Bayesian latent class analysis. Diseases of Aquatic Organisms

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