Target trial emulation with multi-state model analysis to assess treatment effectiveness using clinical COVID-19 data.
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| Title: | Target trial emulation with multi-state model analysis to assess treatment effectiveness using clinical COVID-19 data. |
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| Authors: | Martinuka O; Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Centre, University of Freiburg, Freiburg, Germany. oksana.martinuka@uniklinik-freiburg.de., Hazard D; Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Centre, University of Freiburg, Freiburg, Germany., Marateb HR; Biomedical Engineering Research Centre (CREB), Automatic Control Department (ESAII), Universitat Politècnica de Catalunya-Barcelona Tech (UPC), Barcelona, Spain., Maringe C; Inequalities in Cancer Outcomes Network (ICON), Department of Non-Communicable Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK., Mansourian M; Biomedical Engineering Research Centre (CREB), Automatic Control Department (ESAII), Universitat Politècnica de Catalunya-Barcelona Tech (UPC), Barcelona, Spain.; Department of Epidemiology and Biostatistics, School of Health, Isfahan University of Medical Sciences, Isfahan, Iran., Rubio-Rivas M; Department of Internal Medicine, Bellvitge University Hospital, Bellvitge Biomedical Research Institute-IDIBELL, University of Barcelona, Barcelona, Spain., Wolkewitz M; Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Centre, University of Freiburg, Freiburg, Germany. |
| Source: | BMC medical research methodology [BMC Med Res Methodol] 2023 Sep 02; Vol. 23 (1), pp. 197. Date of Electronic Publication: 2023 Sep 02. |
| Publication Type: | Observational Study; Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: BioMed Central Country of Publication: England NLM ID: 100968545 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2288 (Electronic) Linking ISSN: 14712288 NLM ISO Abbreviation: BMC Med Res Methodol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1471-2288 |
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| DOI: | 10.1186/s12874-023-02001-8 |
