Estimating transition probabilities from published evidence: a tutorial for decision modelers

R Gidwani, LB Russell - Pharmacoeconomics, 2020 - Springer
This tutorial presents practical guidance on transforming various types of information
published in journals, or available online from government and other sources, into transition …

Mixture cure models in oncology: a tutorial and practical guidance

F Felizzi, N Paracha, J Pöhlmann, J Ray - PharmacoEconomics-open, 2021 - Springer
Novel cancer therapies are associated with survival patterns that differ from established
therapies, which may include survival curves that plateau after a certain follow-up time point …

Long-term survival and cost-effectiveness associated with axicabtagene ciloleucel vs chemotherapy for treatment of B-cell lymphoma

MD Whittington, RB McQueen, DA Ollendorf… - JAMA network …, 2019 - jamanetwork.com
Importance Axicabtagene ciloleucel, a chimeric antigen receptor T-cell therapy, represents a
new and potentially curative treatment option for B-cell lymphoma. It is expected to have …

Combining observational and randomized data for estimating heterogeneous treatment effects

T Hatt, J Berrevoets, A Curth, S Feuerriegel… - arXiv preprint arXiv …, 2022 - arxiv.org
Estimating heterogeneous treatment effects is an important problem across many domains.
In order to accurately estimate such treatment effects, one typically relies on data from …

Mean lifetime survival estimates following solid organ transplantation in the US and UK

CN Graham, C Watson, A Barlev… - Journal of Medical …, 2022 - Taylor & Francis
Aims Accurately estimating mean survival after solid organ transplant (SOT) is crucial for
efficient healthcare resource allocation decisions. However, registry-based post-transplant …

[HTML][HTML] Survival extrapolation in cancer immunotherapy: a validation-based case study

A Bullement, NR Latimer, HB Gorrod - Value in Health, 2019 - Elsevier
Background Immune-checkpoint inhibitors may provide long-term survival benefits via a
cured proportion, yet data are usually insufficient to prove this upon submission to health …

[HTML][HTML] Comparison of parametric survival extrapolation approaches incorporating general population mortality for adequate health technology assessment of new …

I van Oostrum, M Ouwens, A Remiro-Azócar, G Baio… - Value in Health, 2021 - Elsevier
Objectives Survival extrapolation of trial outcomes is required for health economic
evaluation. Generally, all-cause mortality (ACM) is modeled using standard parametric …

Modelling the survival outcomes of immuno-oncology drugs in economic evaluations: a systematic approach to data analysis and extrapolation

E Gibson, I Koblbauer, N Begum, G Dranitsaris… - …, 2017 - Springer
Background New immuno-oncology (IO) therapies that harness the immune system to fight
cancer call for a re-examination of the traditional parametric techniques used to model …

[HTML][HTML] Extrapolation beyond the end of trials to estimate long term survival and cost effectiveness

NR Latimer, AI Adler - BMJ medicine, 2022 - ncbi.nlm.nih.gov
Policy makers worldwide use economic evaluation to inform decisions when allocating
limited healthcare resources. A critical part of this evaluation involves accurately estimating …

survHE: survival analysis for health economic evaluation and cost-effectiveness modeling

G Baio - Journal of Statistical Software, 2020 - jstatsoft.org
Survival analysis features heavily as an important part of health economic evaluation, an
increasingly important component of medical research. In this setting, it is important to …