Modeling strategies to analyse longitudinal biomarker data: An illustration on predicting immunotherapy non-response in non-small cell lung cancer.

van Delft, Frederik A; Schuurbiers, Milou; Muller, Mirte; Burgers, Sjaak A; van Rossum, Huub H; IJzerman, Maarten J; Koffijberg, Hendrik; van den Heuvel, Michel M

van Delft, Frederik A; Schuurbiers, Milou; Muller, Mirte; Burgers, Sjaak A; van Rossum, Huub H; IJzerman, Maarten J; Koffijberg, Hendrik; van den Heuvel, Michel M.

Afiliação

van Delft FA; Health Technology and Services Research Department, Technical Medical Centre, University of Twente, Enschede, Overijssel, 7522NH, the Netherlands.
Schuurbiers M; Department of Respiratory Diseases, Radboud University Medical Center, Nijmegen, Gelderland, 6525GA, the Netherlands.
Muller M; Department of Thoracic Oncology, Netherlands Cancer Institute, Amsterdam, Noord-Holland, 1066CX, the Netherlands.
Burgers SA; Department of Thoracic Oncology, Netherlands Cancer Institute, Amsterdam, Noord-Holland, 1066CX, the Netherlands.
van Rossum HH; Department of Laboratory Medicine, Netherlands Cancer Institute, Amsterdam, Noord-Holland, 1066CX, the Netherlands.
IJzerman MJ; Health Technology and Services Research Department, Technical Medical Centre, University of Twente, Enschede, Overijssel, 7522NH, the Netherlands.
Koffijberg H; Centre for Cancer Research and Centre for Health Policy, University of Melbourne, Parkville, Melbourne, Victoria, Australia.
van den Heuvel MM; Peter MacCallum Cancer Centre, Parkville, Melbourne, Victoria, Australia.

Heliyon ; 8(10): e10932, 2022 Oct.

Article em En | MEDLINE | ID: mdl-36254284

Palavras-chave

CA-125; CEA; CYFRA; Immunotherapy; NSCLC; NSE; Response; SCC; Serum tumor markers

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article

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