Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Daniel Oberski"'
Autor:
David Rojas-Velazquez, Sarah Kidwai, Aletta D. Kraneveld, Alberto Tonda, Daniel Oberski, Johan Garssen, Alejandro Lopez-Rincon
Publikováno v:
BMC Bioinformatics, Vol 25, Iss 1, Pp 1-17 (2024)
Abstract Background In recent years, human microbiome studies have received increasing attention as this field is considered a potential source for clinical applications. With the advancements in omics technologies and AI, research focused on the dis
Externí odkaz:
https://doaj.org/article/88acd2003a584f7c92d35efc38ef93f7
Publikováno v:
Frontiers in Digital Health, Vol 4 (2022)
Although many artificial intelligence (AI) and machine learning (ML) based algorithms are being developed by researchers, only a small fraction has been implemented in clinical-decision support (CDS) systems for clinical care. Healthcare organization
Externí odkaz:
https://doaj.org/article/c6cc683aac3141a088e1311d9bcc1d26
Autor:
Stefanie Aeschbacher, David Conen, Diederick E Grobbee, Raphael Twerenbold, Thomas Lung, Theo Rispens, Jakob Kjellberg, Lorenz Risch, Martin Risch, Marianna Mitratza, Harald Renz, Spiros Denaxas, Billy Franks, Diederick Grobbee, Martina Rothenbühler, Janneke Wijgert, Santiago Montes, Richard Dobson, Hans Reitsma, Christian Simon, Titia Leurink, Charisma Hehakaya, Patricia Bruijning, Kirsten Grossmann, Ornella C Weideli, Marc Kovac, Fiona Pereira, Nadia Wohlwend, Corina Risch, Dorothea Hillmann, Daniel Leibovitz, Vladimir Kovacevic, Andjela Markovic, Paul Klaver, Timo B Brakenhoff, George S Downward, Ariel Dowling, Maureen Cronin, Brianna M Goodale, Brianna Goodale, Ornella Weideli, Regien Stokman, Hans Van Dijk, Eric Houtman, Jon Bouwman, Kay Hage, Lotte Smets, Marcel van Willigen, Maui Chodura, Niki de Vink, Tessa Heikamp, Timo Brakenhoff, Wendy van Scherpenzeel, Wout Aarts, Alison Kuchta, Antonella Chiucchiuini, Steve Emby, Annemarijn Douwes, George Downward, Nathalie Vigot, Pieter Stolk, Duco Veen, Daniel Oberski, Amos Folarin, Pablo Fernandez Medina, Eskild Fredslund
Publikováno v:
BMJ Open, Vol 12, Iss 6 (2022)
Externí odkaz:
https://doaj.org/article/b1badc9ebb2148ef845a940ceb6d2222
Autor:
Arjan Sammani, Ayoub Bagheri, Peter G. M. van der Heijden, Anneline S. J. M. te Riele, Annette F. Baas, C. A. J. Oosters, Daniel Oberski, Folkert W. Asselbergs
Publikováno v:
npj Digital Medicine, Vol 4, Iss 1, Pp 1-10 (2021)
Abstract Standard reference terminology of diagnoses and risk factors is crucial for billing, epidemiological studies, and inter/intranational comparisons of diseases. The International Classification of Disease (ICD) is a standardized and widely use
Externí odkaz:
https://doaj.org/article/0f7e2a6ca61e4c53a1d2909562865f85
Publikováno v:
Survey Research Methods, Vol 15, Iss 2 (2021)
Longitudinal surveys often rely on dependent interviewing (DI) to lower the levels of random measurement error in survey data and reduce the incidence of spurious change. DI refers to a data collection technique that incorporates information from pri
Externí odkaz:
https://doaj.org/article/a0b0b9fe0b454e80b079a8cb84a16615
Autor:
Daniel Oberski
Publikováno v:
Journal of Statistical Software, Vol 57, Iss 1, Pp 1-27 (2014)
This paper introduces the R package lavaan.survey, a user-friendly interface to design-based complex survey analysis of structural equation models (SEMs). By leveraging existing code in the lavaan and survey packages, the lavaan.survey package allows
Externí odkaz:
https://doaj.org/article/85484bc333ba4187a6a790c3bbc1b2b5
Publikováno v:
Quality Technology & Quantitative Management. :1-36
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::84ef438476fbd9901b779e5fa697023c
https://doi.org/10.1080/16843703.2023.2214386
https://doi.org/10.1080/16843703.2023.2214386
Autor:
Alexandru Cernat, Daniel Oberski
Publikováno v:
Cernat, A & Oberski, D 2022, ' Estimating Measurement Error in Longitudinal Data using the Longitudinal MultiTrait MultiError Approach ', Structural Equation Modeling . https://doi.org/10.1080/10705511.2022.2145961
Longitudinal data makes it possible to investigate change in time and its causes. While this type of data is getting more popular there is limited knowledge regarding the measurement errors involved, their stability in time and how they bias estimate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::19a6cdfad3d8a9ed87465107fb0e7420
https://doi.org/10.1080/10705511.2022.2145961
https://doi.org/10.1080/10705511.2022.2145961
Autor:
Daniel Oberski
Publikováno v:
Journal of Survey Statistics and Methodology. 8:817-819
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::58e255a3d0ed2bb67c9f6c7349a54507
https://doi.org/10.1093/jssam/smz035
https://doi.org/10.1093/jssam/smz035
Autor:
Daniel Oberski
Presentation given at the Systematic Reviewing 3.0 symposium, Utrecht University, 2018-11-13.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0d78177f95ef5dad420ef85a673855c9
