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Delayed treatment effects, treatment switching and heterogeneous patient populations: How to design and analyze RCTs in oncology.
Ristl, Robin; Ballarini, Nicolás M; Götte, Heiko; Schüler, Armin; Posch, Martin; König, Franz.
Affiliation
  • Ristl R; Center for Medical Statistics, Informatics, and Intelligent Systems, Medical University of Vienna, Vienna, Austria.
  • Ballarini NM; Center for Medical Statistics, Informatics, and Intelligent Systems, Medical University of Vienna, Vienna, Austria.
  • Götte H; Merck Healthcare KGaA, Darmstadt, Germany.
  • Schüler A; Merck Healthcare KGaA, Darmstadt, Germany.
  • Posch M; Center for Medical Statistics, Informatics, and Intelligent Systems, Medical University of Vienna, Vienna, Austria.
  • König F; Center for Medical Statistics, Informatics, and Intelligent Systems, Medical University of Vienna, Vienna, Austria.
Pharm Stat ; 20(1): 129-145, 2021 01.
Article in En | MEDLINE | ID: mdl-32830428
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Time-to-Treatment / Treatment Switching Type of study: Prognostic_studies Limits: Humans Language: En Journal: Pharm Stat Journal subject: FARMACOLOGIA Year: 2021 Document type: Article Affiliation country: Country of publication:
Fulltext
Add to My VHL
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Time-to-Treatment / Treatment Switching Type of study: Prognostic_studies Limits: Humans Language: En Journal: Pharm Stat Journal subject: FARMACOLOGIA Year: 2021 Document type: Article Affiliation country: Country of publication: