Goodness‐of‐fit test for a parametric mixture cure model with partly interval‐censored data

Geng, Ziqi; Li, Jialiang; Niu, Yi; Wang, Xiaoguang

doi:10.1002/sim.9623

Cited by 4 publications

(2 citation statements)

References 44 publications

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“…This paper provided a new estimation of the incubation period for COVID-19, focusing only on the period from entry to the time when the organism is infectious, expressed as the interval between the entry of an infected person and the time point when a positive test can be detected for the first time in a consecutive nucleic acid test. Moreover, the epidemiologic history of patients can be reproduced naturally based on interval-censored data ( 16 ).…”

Section: Discussionmentioning

confidence: 99%

“Low-risk groups” deserve more attention than “high-risk groups” in imported COVID-19 cases

Zheng,

Tan,

Zhao

et al. 2023

Front. Med.

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ObjectiveTo estimate the optimal quarantine period for inbound travelers and identify key risk factors to provide scientific reference for emerging infectious diseases.MethodsA parametric survival analysis model was used to calculate the time interval between entry and first positive nucleic acid test of imported cases in Guangzhou, to identify the influencing factors. And the COVID-19 epidemic risk prediction model based on multiple risk factors among inbound travelers was constructed.ResultsThe approximate 95th percentile of the time interval was 14 days. Multivariate analysis found that the mean time interval for inbound travelers in entry/exit high-risk occupations was 29% shorter (OR 0.29, 95% CI 0.18–0.46, p < 0.0001) than that of low-risk occupations, those from Africa were 37% shorter (OR 0.37, 95% CI 0.17–0.78, p = 0.01) than those from Asia, those who were fully vaccinated were 1.88 times higher (OR 1.88, 95% CI 1.13–3.12, p = 0.01) than that of those who were unvaccinated, and those in other VOC periods were lower than in the Delta period. Decision tree analysis showed that a combined entry/exit low-risk occupation group with Delta period could create a high indigenous epidemic risk by 0.24.ConclusionDifferent strata of imported cases can result in varying degrees of risk of indigenous outbreaks. “low-risk groups” with entry/exit low-risk occupations, fully vaccinated, or from Asia deserve more attention than “high-risk groups.”

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Section: Discussionmentioning

confidence: 99%

“Low-risk groups” deserve more attention than “high-risk groups” in imported COVID-19 cases

Zheng,

Tan,

Zhao

et al. 2023

Front. Med.

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“…[39], developed a parametric but flexible statistical model and ref. [40] proposed a goodness-of-fit test which deals with partly interval-censored data.…”

Section: Parametric MCMmentioning

confidence: 99%

On the Reliability of Machine Learning Models for Survival Analysis When Cure Is a Possibility

Ezquerro,

Cancela,

López-Cheda

2023

Mathematics

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In classical survival analysis, it is assumed that all the individuals will experience the event of interest. However, if there is a proportion of subjects who will never experience the event, then a standard survival approach is not appropriate, and cure models should be considered instead. This paper deals with the problem of adapting a machine learning approach for classical survival analysis to a situation when cure (i.e., not suffering the event) is a possibility. Specifically, a brief review of cure models and recent machine learning methodologies is presented, and an adaptation of machine learning approaches to account for cured individuals is introduced. In order to validate the proposed methods, we present an extensive simulation study in which we compare the performance of the adapted machine learning algorithms with existing cure models. The results show the good behavior of the semiparametric or the nonparametric approaches, depending on the simulated scenario. The practical utility of the methodology is showcased through two real-world dataset illustrations. In the first one, the results show the gain of using the nonparametric mixture cure model approach. In the second example, the results show the poor performance of some machine learning methods for small sample sizes.

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Comments on: Nonparametric estimation in mixture cure models with covariates

Han

Wang

2023

TEST

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Goodness‐of‐fit test for a parametric mixture cure model with partly interval‐censored data

Cited by 4 publications

References 44 publications

“Low-risk groups” deserve more attention than “high-risk groups” in imported COVID-19 cases

“Low-risk groups” deserve more attention than “high-risk groups” in imported COVID-19 cases

On the Reliability of Machine Learning Models for Survival Analysis When Cure Is a Possibility

Comments on: Nonparametric estimation in mixture cure models with covariates

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