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A comparison of partitioned survival analysis and state transition multi-state modelling approaches using a case study in oncology
Authors:Holly Cranmer  Gemma E. Shields  Ash Bullement
Affiliation:1. Takeda Pharmaceuticals International Co., London, UK holly.cranmer@takeda.com"ORCIDhttps://orcid.org/0000-0002-9067-3422;3. Faculty of Biology, Medicine, and Health, Division of Population Health, Health Services Research, and Primary Care, School of Health Sciences, Manchester Centre for Health Economics, University of Manchester, Manchester, UK "ORCIDhttps://orcid.org/0000-0003-4869-7524;4. Delta Hat Limited, Nottingham, UK;5. School of Health and Related Research, University of Sheffield, Sheffield, UK "ORCIDhttps://orcid.org/0000-0001-7091-0972
Abstract:Abstract

Aims

To construct and compare a partitioned-survival analysis (PartSA) and a semi-Markov multi-state model (MSM) to investigate differences in estimated cost effectiveness of a novel cancer treatment from a UK perspective.
Keywords:Cost-effectiveness  multi-state model  partitioned survival  decision-analytic model  oncology
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