Zobrazeno 1 - 10
of 994
pro vyhledávání: '"FIOCCO, Marta"'
A general approach to fitting multistate cure models based on an extended-long-format data structure
A multistate cure model is a statistical framework used to analyze and represent the transitions that individuals undergo between different states over time, taking into account the possibility of being cured by initial treatment. This model is parti
Externí odkaz:
http://arxiv.org/abs/2409.09865
Medical advancements have increased cancer survival rates and the possibility of finding a cure. Hence, it is crucial to evaluate the impact of treatments in terms of both curing the disease and prolonging survival. We may use a Cox proportional haza
Externí odkaz:
http://arxiv.org/abs/2408.16485
Autor:
Pluimakers, Vincent, Fiocco, Marta, van Atteveld, Jenneke, Hobbelink, Monique, Bresters, Dorine, Van Dulmen-den Broeder, Eline, Van der Heiden-van der Loo, Margriet, Janssens, Geert O, Kremer, Leontien, Loonen, Jacqueline, Louwerens, Marloes, Van der Pal, Helena, Ronckers, Cécile, Van Santen, Hanneke, Versluys, Birgitta, De Vries, Andrica, Van den Heuvel-Eibrink, Marry, Neggers, Sebastian
Publikováno v:
JMIR Research Protocols, Vol 10, Iss 1, p e21256 (2021)
BackgroundPotential late effects of treatment for childhood cancer include adiposity, insulin resistance, dyslipidemia, and hypertension. These risk factors cluster together as metabolic syndrome and increase the risk for development of diabetes mell
Externí odkaz:
https://doaj.org/article/01a794621f2e453bac14140f08212aee
This study aims to analyse the effects of reducing Received Dose Intensity (RDI) in chemotherapy treatment for osteosarcoma patients on their survival by using a novel approach. In this scenario, toxic side effects are risk factors for mortality and
Externí odkaz:
http://arxiv.org/abs/2307.09405
Monitoring the quality of statistical processes has been of great importance, mostly in industrial applications. Control charts are widely used for this purpose, but often lack the possibility to monitor survival outcomes. Recently, inspecting surviv
Externí odkaz:
http://arxiv.org/abs/2302.07658
Autor:
Bruinsma, Rixt S.1 r.s.bruinsma-2@prinsesmaximacentrum.nl, Fiocco, Marta F.1,2,3, de Leng, Wendy W. J.4, Kester, Lennart A.1, Langenberg, Karin P. S.1, Tytgat, Godelieve A. M.1, van Noesel, Max M.1,5, Wijnen, Marc H. W. A.1, van der Steeg, Alida F. W.1, de Krijger, Ronald R.1,4
Publikováno v:
Journal of Molecular Pathology. Sep2024, Vol. 5 Issue 3, p304-318. 15p.
Autor:
Arntzen, Vera H.1 (AUTHOR) v.h.arntzen@math.leidenuniv.nl, Fiocco, Marta1,2,3 (AUTHOR), Geskus, Ronald B.4,5 (AUTHOR)
Publikováno v:
BMC Infectious Diseases. 6/3/2024, Vol. 24 Issue 1, p1-12. 12p.
Autor:
van den Brink, Mirjam, Tissing, Wim J.E., Grootenhuis, Martha A., Fiocco, Marta, Havermans, Remco C.
Publikováno v:
In Clinical Nutrition December 2024 43(12):140-145
Autor:
Blom, Kiki, Bekkering, Peter, Hagemeijer, Marlieke, Fiocco, Marta, Schaap, Gerard, van de Sande, Michiel, Dijkstra, Sander, Schreuder, Bart, van der Geest, Ingrid, Jutte, Paul, Ploegmakers, Joris, Merks, Hans, Bramer, Jos A.M.
Publikováno v:
In EJC Paediatric Oncology June 2024 3
Due to the presence of multiple types of adverse events with different levels of severity, the analysis of longitudinal toxicity data is a difficult task in cancer studies. In this work, a novel approach based on latent Markov models and compositiona
Externí odkaz:
http://arxiv.org/abs/2107.12863