Results 11 to 20 of about 58,413 (245)
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
doaj +1 more source
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
doaj +1 more source
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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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
doaj +1 more source
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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Boosting the concordance index for survival data - a unified framework to derive and evaluate biomarker combinations [PDF]
, 2013 The development of molecular signatures for the prediction of time-to-event outcomes is a methodologically challenging task in bioinformatics and biostatistics.
Mayr, Andreas, Schmid, Matthias
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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
doaj +1 more source
Medical Decision Making, 2018 Interim analyses of clinical trial data are frequently used to provide evidence to obtain marketing authorization for new drugs. However, results from such analyses may not reflect true estimates of relative effectiveness when trial follow-up is complete.
Bagust, Adrian, Beale, Sophie J
openaire +3 more sources
Bayesian semiparametric inference for multivariate doubly-interval-censored data [PDF]
, 2010 Based on a data set obtained in a dental longitudinal study, conducted in Flanders (Belgium), the joint time to caries distribution of permanent first molars was modeled as a function of covariates.
De Iorio, Maria +3 more
core +4 more sources