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Bayesian Latent Class Models to evaluate diagnostic tests in the absence of a gold standard

Bayesian Latent Class Models to evaluate diagnostic tests in the absence of a gold standard

14 July, 2022 
- 15 July, 2022
Venue: Winterthurerstr 190, University of Zurich, Zurich, 8057, Switzerland
Agenda

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The Action members from Switzerland are organizing a two-day training school, hosted in Zurich, Switzerland [14 – 15 July 2022].

Sonja Hartnack, Valerie Hungerbühler and Eleftherios Meletis are organizing a two-day training school. 

The training school is going to be delivered face-to-face and all eligible physically attending participants will be reimbursed according to COST rules. 

Registration details
Where to Register: https://forms.gle/3sT4Xq8djQi1AUhR7
Deadline for registration: Sunday 15 May 2022
SOS: The first eligible 15 participants will receive an official invitation from e-COST

You can find more details on the training school in the attached agenda. 


Please do not hesitate to contact me (Eleftherios Meletis – emeletis@outlook.com) or Sonja Hartnack (sonja.hartnack@access.uzh.ch) for any further clarifications.

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COST

COST (European Cooperation in Science and Technology) is a funding agency for research and innovation networks. Our Actions help connect research initiatives across Europe and enable scientists to grow their ideas by sharing them with their peers. This boosts their research, career and innovation.

www.cost.eu

CA18208

Harmony – COST Action CA18208 – Novel tools for test evaluation and disease prevalence estimation. Epidemiological studies assessing disease prevalence are critically important to both the identification and control of pathogens in humans and animals (including zoonosis and food borne outbreaks).

www.cost.eu/ca18208

Action Details

Grant Holder: University of Thessaly – GH Science
Start of Action: 25 October, 2019
End of Action: 24 October, 2023
Entry into force: 26 June, 2019
CSO approval date: 04 June, 2019
Action email: info@harmony-net.eu

Memorandum of Understanding (MoU)

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