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Randomization of Clinical Trial Participants via an Integrated Web Service.
Bonotis, Panos; Chytas, Achilleas; Zacharioudakis, Giorgos; Karamanidou, Christina; Koumakis, Lefteris; Stamatopoulos, Kostas; Natsiavas, Pantelis.
  • Bonotis P; Institute of Applied Biosciences, Centre for Research & Development Hellas, Thessaloniki, Greece.
  • Chytas A; Institute of Applied Biosciences, Centre for Research & Development Hellas, Thessaloniki, Greece.
  • Zacharioudakis G; Institute of Computer Science, Foundation for Research & Technology Hellas, Heraklion, Greece.
  • Karamanidou C; Institute of Applied Biosciences, Centre for Research & Development Hellas, Thessaloniki, Greece.
  • Koumakis L; Institute of Computer Science, Foundation for Research & Technology Hellas, Heraklion, Greece.
  • Stamatopoulos K; Institute of Applied Biosciences, Centre for Research & Development Hellas, Thessaloniki, Greece.
  • Natsiavas P; Institute of Applied Biosciences, Centre for Research & Development Hellas, Thessaloniki, Greece.
Stud Health Technol Inform ; 281: 1124-1125, 2021 May 27.
Article in English | MEDLINE | ID: covidwho-1247831
ABSTRACT
Randomization is an inherent part of Randomized Clinical Trials (RCTs), typically requiring the split of participants in intervention and control groups. We present a web service supporting randomized patient distribution, developed in the context of the MyPal project RCT. The randomization process is based on a block permutation approach to mitigate the risk of various kind of biases. The presented service can be used via its web user interface to produce randomized lists of patients distributed in the various study groups, with a variant block size. Alternatively, the presented service can be integrated as part of wider IT systems supporting clinical trials via a REST interface following a micro-service architectural pattern.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Randomized Controlled Trials as Topic / COVID-19 Type of study: Experimental Studies / Prognostic study / Randomized controlled trials Topics: Variants Limits: Humans Language: English Journal: Stud Health Technol Inform Journal subject: Medical Informatics / Health Services Research Year: 2021 Document Type: Article Affiliation country: Shti210375

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Randomized Controlled Trials as Topic / COVID-19 Type of study: Experimental Studies / Prognostic study / Randomized controlled trials Topics: Variants Limits: Humans Language: English Journal: Stud Health Technol Inform Journal subject: Medical Informatics / Health Services Research Year: 2021 Document Type: Article Affiliation country: Shti210375