Dynamic Simulation Modeling to Analyze the Impact of Whole Genome Sequencing National Implementation Scenarios in Lung cancer on Time-to-Treatment, Costs and Patient Demand

Michiel van de Ven; Hendrik Koffijberg; Valesca P.J. Retèl; Wim H. van Harten; Maarten J. IJzerman

doi:10.1101/2023.11.10.23298371

Dynamic Simulation Modeling to Analyze the Impact of Whole Genome Sequencing National Implementation Scenarios in Lung cancer on Time-to-Treatment, Costs and Patient Demand

Michiel van de Ven
, Hendrik Koffijberg
, Valesca P.J. Retèl
, Wim H. van Harten
, Maarten J. IJzerman

Research output: Working paper › Preprint › Academic

53 Downloads (Pure)

Original language	English
Publisher	MedRxiv
DOIs	https://doi.org/10.1101/2023.11.10.23298371
Publication status	Published - 11 Nov 2023

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

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10.1101/2023.11.10.23298371Licence: CC BY-NC-ND

2023.11.10.23298371v1.fullFinal published version, 1.09 MBLicence: CC BY-NC-ND

Cite this

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