Results 21 to 30 of about 628,696 (290)
Case–Cohort Analysis with Accelerated Failure Time Model [PDF]
Biometrics, 2009 Summary In a case–cohort design, covariates are assembled only for a subcohort that is randomly selected from the entire cohort and any additional cases outside the subcohort. This design is appealing for large cohort studies of rare disease, especially when the exposures of interest are expensive to ascertain for all the subjects.
Kong, Lan, Cai, Jianwen
openaire +3 more sources
Frontiers in Oncology, 2021 ObjectiveThe exact role of the extent of resection or residual tumor volume on overall survival in glioblastoma patients is still controversial. Our aim was to create a statistical model showing the association between resection extent/residual tumor ...
Marco Skardelly +24 more
doaj +1 more source
Analysis of Survival Data: Challenges and Algorithm-Based Model Selection [PDF]
Journal of Clinical and Diagnostic Research, 2017 Survival data is a special form of time to event data that is often encountered while modelling risk. The classical Cox proportional hazard model, that is popularly used to analyse survival data, cannot be used for modelling risk when the proportional ...
Kaushik Sarkar +2 more
doaj +1 more source
Regression Calibration in Semiparametric Accelerated Failure Time Models [PDF]
Biometrics, 2010 Summary In large cohort studies, it often happens that some covariates are expensive to measure and hence only measured on a validation set. On the other hand, relatively cheap but error‐prone measurements of the covariates are available for all subjects.
Yu, Menggang, Nan, Bin
openaire +4 more sources
Regularized Estimation for the Accelerated Failure Time Model [PDF]
Biometrics, 2009 SummaryIn the presence of high‐dimensional predictors, it is challenging to develop reliable regression models that can be used to accurately predict future outcomes. Further complications arise when the outcome of interest is an event time, which is often not fully observed due to censoring.
Cai, T., Huang, J., Tian, L.
openaire +3 more sources
Accelerating mean time to failure computations [PDF]
Performance Evaluation, 1996 Summary: We consider the problem of numerical computation of the mean time to failure (MTTF) in Markovian dependability and/or performance models. The problem can be cast as a system of linear equations which is solved using an iterative method preserving sparsity of the Markov chain matrix. For highly dependable systems, system failure is a rare event
Heidelberger, P. +2 more
openaire +1 more source
Predictive influence in the accelerated failure time model [PDF]
Biostatistics, 2002 We develop case deletion diagnostics for prediction of future observations in the accelerated failure time model. We view prediction to be an important inferential goal in a survival analysis and thus it is important to identify whether particular observations may be influencing the quality of predictions.
Bedrick, Edward J. +3 more
openaire +2 more sources
Robust accelerated failure time regression
Computational Statistics & Data Analysis, 2011 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Locatelli, Isabella +2 more
openaire +2 more sources
Variable selection and estimation for accelerated failure time model via seamless-L0 penalty
AIMS Mathematics, 2023 Survival data with high dimensional covariates have been collected in medical studies and other fields. In this work, we propose a seamless $ L_0 $ (SELO) penalized method for the accelerated failure time (AFT) model under the framework of high dimension.
Yin Xu, Ning Wang
doaj +1 more source
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