Results 11 to 20 of about 59,165 (246)
A bayesian via laplace approximation on log-gamma model with censored data [PDF]
, 2016 Log-gamma distribution is the extension of gamma distribution which is more flexible, versatile and provides a great fit to some skewed and censored data.
Abu Bakar, Mohd Rizam +4 more
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Journal of Biostatistics and Epidemiology, 2023 Introduction: Quantile regression is a valuable alternative for survival data analysis, enabling flexible evaluations of covariate effects on survival outcomes with intuitive interpretations. It offers practical computation and reliability.
Fereshteh Mokhtarpour +3 more
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Acta Universitatis Lodziensis. Folia Oeconomica, 2020 One of the key elements related to calculating Customer Lifetime Value is to estimate the duration of a client’s relationship with a bank in the future. This can be done using survival analysis.
Dominik Kubacki, Robert Kubacki
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Entropy, 2022 The estimation of the Individual Treatment Effect (ITE) on survival time is an important research topic in clinics-based causal inference. Various representation learning methods have been proposed to deal with its three key problems, i.e., reducing ...
Yijie Zhao, Hao Zhou, Jin Gu, Hao Ye
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Counting Process Based Dimension Reduction Methods for Censored Outcomes [PDF]
, 2018 We propose a class of dimension reduction methods for right censored survival data using a counting process representation of the failure process. Semiparametric estimating equations are constructed to estimate the dimension reduction subspace for the ...
Sun, Qiang +3 more
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Geoadditive hazard regression for interval censored survival times [PDF]
, 2005 The Cox proportional hazards model is the most commonly used method when analyzing the impact of covariates on continuous survival times. In its classical form, the Cox model was introduced in the setting of right-censored observations.
Kneib, Thomas
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Mathematical and Computational Applications, 2022 This study aims to propose a flexible, fully parametric hazard-based regression model for censored time-to-event data with crossing survival curves. We call it the accelerated hazard (AH) model.
Abdisalam Hassan Muse +3 more
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A note on the estimation of confidence intervals for cost-effectiveness when costs and effects are censored [PDF]
, 2002 <i>Background</i>. The relation between methodological advances in estimation of confidence intervals (CIs) for incremental cost-effectiveness ratios (ICER) and estimation of cost effectiveness in the presence of censoring has not been ...
Blackhouse, G. +2 more
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Estimating marginal survival function by adjusting for dependent censoring using many covariates [PDF]
, 2004 One goal in survival analysis of right-censored data is to estimate the marginal survival function in the presence of dependent censoring. When many auxiliary covariates are sufficient to explain the dependent censoring, estimation based on either a ...
Zeng, Donglin
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ANALISIS SURVIVAL DENGAN COX PROPORTIONAL HAZARD PADA KASUS DEMAM TIFOID
Majalah Ilmiah Matematika dan Statistika, 2022 A common problem found in survival data is the presence of censored data. The length of hospitalization of Typhoid fever patients until declared cured is one of example of this data. Here, we use Cox regression model to analysis this data.
Nurul Azizah Baisaku +2 more
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