Item request has been placed! ×
Item request cannot be made. ×
loading  Processing Request

Statistical analysis of clinical COVID-19 data: A concise overview of lessons learned, common errors and how to avoid them

Item request has been placed! ×
Item request cannot be made. ×
loading   Processing Request
اقرأ أكثر حفظ في قائمتي
  • معلومة اضافية
    • بيانات النشر:
      Dove Medical Press Ltd.
    • الموضوع:
      2020
    • Collection:
      Queensland University of Technology: QUT ePrints
    • نبذة مختصرة :
      By definition, in-hospital patient data are restricted to the time between hospital admission and discharge (alive or dead). For hospitalised cases of COVID-19, a number of events during hospitalization are of interest regarding the influence of risk factors on the likelihood of experiencing these events. The same is true for predicting times from hospital admission of COVID-19 patients to intensive care or from start of ventilation (invasive or non-invasive) to extubation. This logical restriction of the data to the period of hospitalisation is associated with a substantial risk that inappropriate methods are used for analysis. Here, we briefly discuss the most common types of bias which can occur when analysing inhospital COVID-19 data.
    • File Description:
      application/pdf
    • Relation:
      https://eprints.qut.edu.au/205313/1/69099895.pdf; Wolkewitz, Martin, Lambert, Jerome, von Cube, Maja, Bugiera, Lars, Grodd, Marlon, Hazard, Derek, White, Nicole, Barnett, Adrian, & Kaier, Klaus (2020) Statistical analysis of clinical COVID-19 data: A concise overview of lessons learned, common errors and how to avoid them. Clinical Epidemiology, 12, pp. 925-928.; https://eprints.qut.edu.au/205313/; Centre for Healthcare Transformation; Australian Centre for Health Services Innovation; Institute of Health and Biomedical Innovation; Faculty of Health
    • الدخول الالكتروني :
      https://eprints.qut.edu.au/205313/
    • Rights:
      free_to_read ; http://creativecommons.org/licenses/by-nc/4.0/ ; The Author(s) ; This work is covered by copyright. Unless the document is being made available under a Creative Commons Licence, you must assume that re-use is limited to personal use and that permission from the copyright owner must be obtained for all other uses. If the document is available under a Creative Commons License (or other specified license) then refer to the Licence for details of permitted re-use. It is a condition of access that users recognise and abide by the legal requirements associated with these rights. If you believe that this work infringes copyright please provide details by email to qut.copyright@qut.edu.au
    • الرقم المعرف:
      edsbas.EDD04D5A