Now showing items 1-3 of 3

    • Methodological biases in observational hospital studies of COVID-19 treatment effectiveness: pitfalls and potential 

      Martinuka, Oksana; Hazard, Derek; Marateb, Hamid Reza; Mansourian Gharakozlou, Marjan; Mañanas Villanueva, Miguel Ángel; Romero Lafuente, Sergio; Rubio Rivas, Manuel; Wolkewitz, Martin (Frontiers Media SA, 2024-03-21)
      Article
      Open Access
      Introduction: This study aims to discuss and assess the impact of three prevalent methodological biases: competing risks, immortal-time bias, and confounding bias in real-world observational studies evaluating treatment ...
    • Psychiatric disorders and cognitive impairment following COVID-19: a comprehensive review and its implications for smart healthcare design 

      Azimi, Tayebe; Koochekian, Amirhossein; Marateb, Hamid Reza; Shirzadi, Mehdi; Rojas Martínez, Mónica Marlene; Alonso López, Joan Francesc; Bachiller Matarranz, Alejandro; Mansourian Gharakozlou, Marjan; Rubio Rivas, Manuel; Romero Lafuente, Sergio; Mañanas Villanueva, Miguel Ángel (Institute of Physics (IOP), 2022-12)
      Part of book or chapter of book
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      Chapter 3 discusses the role of sensors in cases of moderate COVID-19 infection that may be linked to cognitive impairments; such prediction systems are promising for smart healthcare design.
    • Target trial emulation with multi-state model analysis to assess treatment effectiveness using clinical COVID-19 data 

      Martinuka, Oksana; Hazard, Derek; Marateb, Hamid Reza; Maringe, Camille; Mansourian Gharakozlou, Marjan; Rubio Rivas, Manuel; Wolkewitz, Martin (Springer Nature, 2023-09-02)
      Article
      Open Access
      Background: Real-world observational data are an important source of evidence on the treatment effectiveness for patients hospitalized with coronavirus disease 2019 (COVID-19). However, observational studies evaluating ...