ArticleApplied intelligence (Dordrecht, Netherlands)2022
Cure models to estimate time until hospitalization due to COVID-19: A case study in Galicia (NW Spain).
Article in Applied intelligence (Dordrecht, Netherlands), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- A Sequential Quadratic Hamiltonian-Based Estimation Method for Box-Cox Transformation Cure Model.Statistica Neerlandica · 2026Article
- A mixture cure modeling framework for survival analysis of hospitalized COVID-19 patients: implications for hospital resource management.BMC medical informatics and decision making · 2026Article
- A gradient boosting decision tree based estimation method for the mixture cure model.Journal of applied statistics · 2026Article
- Article
- Application of Mixture and Non-mixture Cure Models in Survival Analysis of Patients With COVID-19.Cureus · 2024Article
- Estimating the cure proportion of stage IA lung adenocarcinoma: a population-based study.BMC pulmonary medicine · 2023Article
- The importance of appropriate selection of clinical endpoints in outpatient COVID-19 clinical trials.Communications medicine · 2023Review
- A multistate model and its standalone tool to predict hospital and ICU occupancy by patients with COVID-19.Heliyon · 2023Article
- Factors associated with survival of Iranian patients with COVID-19: comparison of Cox regression and mixture cure model.Tropical diseases, travel medicine and vaccines · 2022Article
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3 authors.
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Abstract
A short introduction to survival analysis and censored data is included in this paper. A thorough literature review in the field of cure models has been done. An overview on the most important and recent approaches on parametric, semiparametric and nonparametric mixture cure models is also included. The main nonparametric and semiparametric approaches were applied to a real time dataset of COVID-19 patients from the first weeks of the epidemic in Galicia (NW Spain). The aim is to model the elapsed time from diagnosis to hospital admission. The main conclusions, as well as the limitations of both the cure models and the dataset, are presented, illustrating the usefulness of cure models in this kind of studies, where the influence of age and sex on the time to hospital admission is shown.
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