A systematic review of methodologies used in models of the treatment of diabetes mellitus
Background Diabetes mellitus is a chronic and complex disease, increasing in prevalence
and consequent health expenditure. Cost-effectiveness models with long time horizons are …
and consequent health expenditure. Cost-effectiveness models with long time horizons are …
A systematic review of methods to incorporate external evidence into trial-based survival extrapolations for health technology assessment
A Bullement, MD Stevenson, G Baio… - Medical Decision …, 2023 - journals.sagepub.com
Background External evidence is commonly used to inform survival modeling for health
technology assessment (HTA). While there are a range of methodological approaches that …
technology assessment (HTA). While there are a range of methodological approaches that …
What did time tell us? A comparison and retrospective validation of different survival extrapolation methods for immuno-oncologic therapy in advanced or metastatic …
SL Klijn, E Fenwick, S Kroep, K Johannesen… - …, 2021 - Springer
Background The immuno-oncologic (IO) mechanism of action may lead to an overall survival
(OS) hazard that changes over time, producing shapes that standard parametric …
(OS) hazard that changes over time, producing shapes that standard parametric …
Informed Bayesian survival analysis
Background We provide an overview of Bayesian estimation, hypothesis testing, and model-
averaging and illustrate how they benefit parametric survival analysis. We contrast the …
averaging and illustrate how they benefit parametric survival analysis. We contrast the …
[HTML][HTML] A guide to selecting flexible survival models to inform economic evaluations of cancer immunotherapies
Objectives Parametric models are routinely used to estimate the benefit of cancer drugs
beyond trial follow-up. The advent of immune checkpoint inhibitors has challenged this …
beyond trial follow-up. The advent of immune checkpoint inhibitors has challenged this …
Challenges of modelling approaches for network meta-analysis of time-to-event outcomes in the presence of non-proportional hazards to aid decision making …
Background Synthesis of clinical effectiveness from multiple trials is a well-established
component of decision-making. Time-to-event outcomes are often synthesised using the …
component of decision-making. Time-to-event outcomes are often synthesised using the …
Blended survival curves: a new approach to extrapolation for time-to-event outcomes from clinical trials in health technology assessment
Background Survival extrapolation is essential in cost-effectiveness analysis to quantify the
lifetime survival benefit associated with a new intervention, due to the restricted duration of …
lifetime survival benefit associated with a new intervention, due to the restricted duration of …
Comparing survival extrapolation within all-cause and relative survival frameworks by standard parametric models and flexible parametric spline models using the …
EYT Chen, Y Leontyeva, CN Lin… - Medical Decision …, 2024 - journals.sagepub.com
Background In health technology assessment, restricted mean survival time and life
expectancy are commonly evaluated. Parametric models are typically used for extrapolation …
expectancy are commonly evaluated. Parametric models are typically used for extrapolation …
Structured expert elicitation to inform long-term survival extrapolations using alternative parametric distributions: a case study of CAR T therapy for relapsed/refractory …
Background Our aim was to extend traditional parametric models used to extrapolate
survival in cost-effectiveness analyses (CEAs) by integrating individual-level patient data …
survival in cost-effectiveness analyses (CEAs) by integrating individual-level patient data …
[HTML][HTML] The extrapolation performance of survival models for data with a cure fraction: a simulation study
B Kearns, MD Stevenson, K Triantafyllopoulos… - Value in Health, 2021 - Elsevier
Objectives Curative treatments can result in complex hazard functions. The use of standard
survival models may result in poor extrapolations. Several models for data which may have …
survival models may result in poor extrapolations. Several models for data which may have …