On the Survival Assessment of Asthmatic Patients Using Parametric and Semi-Parametric Survival Models
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چکیده
منابع مشابه
Survival analysis of breast cancer patients with different chronic diseases through parametric and semi-parametric approaches
Introduction: There is a lack of information on the extent of dependency between chronic diseases and the survival rate of breast cancer. Until date, none of the models proposed has determined the impact of chronic diseases on breast cancer survival. This study, therefore, aimed to investigate the impacts of chronic diseases such as diabetes, blood pressure, and endocrine di...
متن کاملSurvival analysis of breast cancer patients with different chronic diseases through parametric and semi-parametric approaches
Introduction: There is a lack of information on the extent of dependency between chronic diseases and the survival rate of breast cancer. Until date, none of the models proposed has determined the impact of chronic diseases on breast cancer survival. This study, therefore, aimed to investigate the impacts of chronic diseases such as diabetes, blood pressure, and endocrine di...
متن کاملSupplementary Materials to “Combining parametric, semi-parametric, and non-parametric survival models with stacked survival models”
Section 1 demonstrates the connection between the Brier Score in the absence of censoring versus the inverse probability-of-censoring weighted Brier Score. Section 2 derives the meansquared error decomposition presented in Section 3 of the main paper, and presents illustrations and examples regarding the impact of candidate survival models on performance. In addition, a simple example illustrat...
متن کاملCombining parametric, semi-parametric, and non-parametric survival models with stacked survival models.
For estimating conditional survival functions, non-parametric estimators can be preferred to parametric and semi-parametric estimators due to relaxed assumptions that enable robust estimation. Yet, even when misspecified, parametric and semi-parametric estimators can possess better operating characteristics in small sample sizes due to smaller variance than non-parametric estimators. Fundamenta...
متن کاملalternative for the cox regression model: using parametric models to analyze the survival of cancer patients
background: although the cox proportional hazard regression is the most popular model for analyzing the prognostic factors on survival of cancer patients, under certain circumstances, parametric models estimate the parameter more efficiently than the cox model. the aim of this study was to compare the cox regression model with parametric models in patients with gastric cancer who registered a...
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ژورنال
عنوان ژورنال: Occupational Diseases and Environmental Medicine
سال: 2020
ISSN: 2333-3561,2333-357X
DOI: 10.4236/odem.2020.82004