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Causal analyses with target trial emulation for real-world evidence removed large self-inflicted biases: systematic bias assessment of ovarian cancer treatment effectiveness.
Kuehne, Felicitas; Arvandi, Marjan; Hess, Lisa M; Faries, Douglas E; Matteucci Gothe, Raffaella; Gothe, Holger; Beyrer, Julie; Zeimet, Alain Gustave; Stojkov, Igor; Mühlberger, Nikolai; Oberaigner, Willi; Marth, Christian; Siebert, Uwe.
Afiliação
  • Kuehne F; Department of Public Health, Health Services Research and Health Technology Assessment, Institute of Public Health, Medical Decision Making and Health Technology Assessment, UMIT TIROL - University for Health Sciences, Medical Informatics and Technology, Hall i.T., Austria.
  • Arvandi M; Department of Public Health, Health Services Research and Health Technology Assessment, Institute of Public Health, Medical Decision Making and Health Technology Assessment, UMIT TIROL - University for Health Sciences, Medical Informatics and Technology, Hall i.T., Austria.
  • Hess LM; Eli Lilly and Company, Indianapolis, IN, USA.
  • Faries DE; Eli Lilly and Company, Indianapolis, IN, USA.
  • Matteucci Gothe R; Department of Public Health, Health Services Research and Health Technology Assessment, Institute of Public Health, Medical Decision Making and Health Technology Assessment, UMIT TIROL - University for Health Sciences, Medical Informatics and Technology, Hall i.T., Austria.
  • Gothe H; Department of Public Health, Health Services Research and Health Technology Assessment, Institute of Public Health, Medical Decision Making and Health Technology Assessment, UMIT TIROL - University for Health Sciences, Medical Informatics and Technology, Hall i.T., Austria; Chair of Health Sciences/
  • Beyrer J; Eli Lilly and Company, Indianapolis, IN, USA.
  • Zeimet AG; Department of Obstetrics and Gynecology, Innsbruck Medical University, Innsbruck, Austria.
  • Stojkov I; Department of Public Health, Health Services Research and Health Technology Assessment, Institute of Public Health, Medical Decision Making and Health Technology Assessment, UMIT TIROL - University for Health Sciences, Medical Informatics and Technology, Hall i.T., Austria.
  • Mühlberger N; Department of Public Health, Health Services Research and Health Technology Assessment, Institute of Public Health, Medical Decision Making and Health Technology Assessment, UMIT TIROL - University for Health Sciences, Medical Informatics and Technology, Hall i.T., Austria.
  • Oberaigner W; Department of Public Health, Health Services Research and Health Technology Assessment, Institute of Public Health, Medical Decision Making and Health Technology Assessment, UMIT TIROL - University for Health Sciences, Medical Informatics and Technology, Hall i.T., Austria; Institute for Clinical Ep
  • Marth C; Department of Obstetrics and Gynecology, Innsbruck Medical University, Innsbruck, Austria.
  • Siebert U; Department of Public Health, Health Services Research and Health Technology Assessment, Institute of Public Health, Medical Decision Making and Health Technology Assessment, UMIT TIROL - University for Health Sciences, Medical Informatics and Technology, Hall i.T., Austria; Center for Health Decisio
J Clin Epidemiol ; 152: 269-280, 2022 Dec.
Article em En | MEDLINE | ID: mdl-36252741
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Ovarianas Tipo de estudo: Clinical_trials Limite: Female / Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Ovarianas Tipo de estudo: Clinical_trials Limite: Female / Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article