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Judith van Loon

affiliation not provided to SSRN

  • affiliation not provided to SSRN

SCHOLARLY PAPERS

2

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45

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0

Scholarly Papers (2)

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1.

Adaptable Framework for Cost-Analyses in Radiotherapy: Application to the Cost of Proton Versus Photon Therapy for Lung Cancer in the Netherlands

Number of pages: 19 Posted: 13 Nov 2024
Bradley M. Sugden, Willem J.A. Witlox, Bram Ramaekers, Djoya Hattu, Boy Vluggen, Judith van Loon, Maria J.G. Jacobs, Manuela Joore and Dirk De Ruysscher
affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, Maastricht University, affiliation not provided to SSRN and Maastricht University
Downloads 26 (1,372,601)

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Cost-Analysis, proton, Photon, lung cancer, Adaptable, Framework, Societal perspective

2.

Missing confounding information in counterfactual prediction models: a simulation study on model-based treatment effect evaluation in radiotherapy techniques

Number of pages: 23 Posted: 22 Sep 2025
Jungyeon Choig, Artuur M. Leeuwenberg, Lotta M. Meijerink, Karel GM Moons, Hans Reitsma, Bas B.L. Penning de Vries, Wouter A.C. van Amsterdam, Judith van Loon, Remi A. Nout, Johannes A. Langendijk, Liesbeth J. Boersma and Ewoud J. Schuit
Utrecht University - Julius Center for Health Sciences and Primary Care, Utrecht University - University Medical Center (Utrecht), affiliation not provided to SSRN, Utrecht University - University Medical Center (Utrecht), Utrecht University - Julius Center for Health Sciences and Primary Care, affiliation not provided to SSRN, Zuyderland Medical Centre, affiliation not provided to SSRN, Erasmus University Medical Center Rotterdam - Department of Radiation Oncology, University of Groningen, Maastricht University and affiliation not provided to SSRN
Downloads 19 (1,459,862)

Abstract:

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Counterfactual prediction, Model-based clinical evaluation of therapeutic interventions, Radiation Therapy, Proton Therapy, model-based approach