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Quantifying bias due to missing data in quality of life surveys of advanced-stage cancer patients

Datos Bibliográficos

ID15296172
AutoresNina Haug (0000-0002-5130-9193, Iomedico (Germany), autor de correspondencia), Martina Jänicke (Iomedico (Germany)), Benjamin Kasenda (0000-0003-0110-8585, University Hospital of Basel), Norbert Marschner (0000-0002-6098-1301, Iomedico (Germany)), M Frank (0000-0001-6294-2106, Iomedico (Germany))
Año2024
Volumen33
Número4
Páginas1085-1094
Fecha de publicación2024-01-19
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaQuality of Life Research (JOURNAL)
Identificadores de la revistaISSN: 0962-9343 • E-ISSN: 1573-2649
EditorialSpringer Science+Business Media (PUBLISHER • DE)
DOI10.1007/s11136-023-03588-7
PMID38240915
OpenAlexW4391026685
IdiomaEN
Referencias citadas32

Cancer · Estimator · Inverse probability weighting · Missing data · Pathology · Public health · Quality of life (healthcare · Quality of Life Research · Stage (stratigraphy · Statistics · Weighting · Advanced Causal Inference Techniques · Mathematics · Medicine · Statistical Methods and Bayesian Inference · Statistical Methods and Inference · Internal Medicine

  • Doubly Robust Estimation in Missing Data and Causal Inference Models

    Open Access•Heejung Bang, James M Robins•Biometrics•2005

  • Doubly Robust Estimation of Causal Effects

    Michele Jonsson Funk, Daniel Westreich et al.•American Journal of Epidemiology•2011

  • The Functional Assessment of Cancer Therapy scale

    David Cella, D F Cella et al.•Journal of Clinical Oncology•1993

  • Inverse probability weighting and doubly robust methods in correcting the effects of non-response in the reimbursed medication and self-reported turnout estimates in the ATH survey

    Open Access•Tommi Härkänen, Risto Kaikkonen et al.•BMC Public Health•2014

  • Quality of life in a real-world cohort of advanced breast cancer patients

    Open Access•Anouk K M Claessens, Bram Ramaekers et al.•Quality of Life Research•2020

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