ArticleMedical decision making : an international journal of the Society for Medical Decision Making2024
Using Age-Specific Rates for Parametric Survival Function Estimation in Simulation Models.
Article in Medical decision making : an international journal of the Society for Medical Decision Making, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Article
- A Fast Nonparametric Sampling Method for Time to Event in Individual-Level Simulation Models.Medical decision making : an international journal of the Society for Medical Decision Making · 2025Article
- A Fast Nonparametric Sampling (NPS) Method for Time-to-Event in Individual-Level Simulation Models.medRxiv : the preprint server for health sciences · 2024Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
purposeTo describe a procedure for incorporating parametric functions into individual-level simulation models to sample time to event when age-specific rates are available but not the individual data.
methodsUsing age-specific event rates, regression analysis was used to parametrize parametric survival distributions (Weibull, Gompertz, log-normal, and log-logistic), select the best fit using the
resultsThe 3 selected survival functions (Gompertz, Weibull, and log-normal) had a good fit to the data up to 85 y of age. We selected Gompertz distribution as the best-fitting distribution due to its goodness of fit.
conclusionsOur work provides a simple procedure for incorporating parametric risk functions into simulation models without individual-level data. HIGHLIGHTS: We describe the procedure for sampling times to event for individual-level simulation models as a function of age from parametric survival functions when age-specific rates are available but not the individual dataWe used linear regression to estimate age-specific hazard functions, obtaining estimates of parameter uncertainty.Our approach allows incorporating parameter (second-order) uncertainty in individual-level simulation models needed for probabilistic sensitivity analysis in the absence of individual-level survival data.
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Registered trials
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