Generalizability Theory:Demonstrating the Process and its Utility with EEG Measurements

Autor:	Bradley G. Goodyear, Janet L. Ronsky, Adrienne Kline, Theresa J. B. Kline, Daniel J. Pittman
Rok vydání:	2020
Předmět:	medicine.diagnostic_test Process (engineering) Computer science business.industry Electroencephalography Machine learning computer.software_genre Eeg data medicine Generalizability theory Relevance (information retrieval) Artificial intelligence business computer Reliability (statistics)
Zdroj:	Journal of Medical Statistics and Informatics. 8:3
ISSN:	2053-7662
DOI:	10.7243/2053-7662-8-3
Popis:	Background: The purpose of this study is to demonstrate the utility of generalizability theory in assessing the reliability of EEG data. Generalizability theory and its relevance for measurement are described
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::436a1ae0ae3f15b3c3bee0eef49bb466 https://doi.org/10.7243/2053-7662-8-3 Zobrazit plný text záznamu