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Quality assurance of cognitive assessments and other categorical data
RISE - Research Institutes of Sweden, Säkerhet och transport, Mätteknik.ORCID-id: 0000-0002-3700-3921
RISE - Research Institutes of Sweden, Säkerhet och transport, Mätteknik.ORCID-id: 0000-0003-4349-500x
2019 (Engelska)Konferensbidrag, Muntlig presentation med publicerat abstract (Övrigt vetenskapligt)
Abstract [en]

Did you ever wonder how to account for biases such as ceiling eects in your (cognitive) data?

Metrological quality assurance of human-based responses is in its infancy and analyzing categorial data and other human responses is challenging. However, there is a need to tackle those challenges to ensure that decisions about health care are made correctly. Quality assured comparability, interoperability and decision-making can successfully be done by applying sound metrological approaches to enable traceability as well as stressing declaration of measurement uncertainties. In the seminar, we present metrological approaches to ensure quality assurance of categorical data,such as cognitive assessments and other human-reported responses. This is followed by a hands-onworkshop where you are welcome to bring your own or freely available data for analyses.

Ort, förlag, år, upplaga, sidor
2019.
Nationell ämneskategori
Neurovetenskaper
Identifikatorer
URN: urn:nbn:se:ri:diva-37325OAI: oai:DiVA.org:ri-37325DiVA, id: diva2:1280795
Konferens
Charité lecture series,Thursday, 17.01.2019 CCM, Virchowweg 24, Aufgang B, Seminar Room 03.006
Projekt
EMPIR 15HLT04 NeuroMet
Forskningsfinansiär
EU, FP7, Sjunde ramprogrammet, EMPIR 15HLT04Tillgänglig från: 2019-01-21 Skapad: 2019-01-21 Senast uppdaterad: 2023-05-25Bibliografiskt granskad

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Melin, JeanettePendrill, Leslie

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  • de-DE
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