Embryonic transcripts in heart failure: Time for reprogrammed thinking?
Sign Up to like & getrecommendations! Published in 2025 at "European Journal of Heart Failure"
DOI: 10.1002/ejhf.3794
Abstract: Heart failure constitutes a biological emergency for the heart. Both acute and chronic forms of heart failure activate a complex network of pathophysiological responses at the molecular, cellular, and organ levels. One of the most… read more here.
Keywords: embryonic transcripts; failure time; heart; transcripts heart ... See more keywords
A new and unified method for regression analysis of interval‐censored failure time data under semiparametric transformation models with missing covariates
Sign Up to like & getrecommendations! Published in 2024 at "Statistics in Medicine"
DOI: 10.1002/sim.10035
Abstract: This paper discusses regression analysis of interval‐censored failure time data arising from semiparametric transformation models in the presence of missing covariates. Although some methods have been developed for the problem, they either apply only to… read more here.
Keywords: failure time; censored failure; analysis interval; regression analysis ... See more keywords
deepAFT: A nonlinear accelerated failure time model with artificial neural network
Sign Up to like & getrecommendations! Published in 2024 at "Statistics in Medicine"
DOI: 10.1002/sim.10152
Abstract: The Cox regression model or accelerated failure time regression models are often used for describing the relationship between survival outcomes and potential explanatory variables. These models assume the studied covariates are connected to the survival… read more here.
Keywords: failure time; time; regression; model ... See more keywords
Optimal subsampling for semi‐parametric accelerated failure time models with massive survival data using a rank‐based approach
Sign Up to like & getrecommendations! Published in 2024 at "Statistics in Medicine"
DOI: 10.1002/sim.10200
Abstract: Subsampling is a practical strategy for analyzing vast survival data, which are progressively encountered across diverse research domains. While the optimal subsampling method has been applied to inferences for Cox models and parametric accelerated failure… read more here.
Keywords: parametric accelerated; failure time; time; survival data ... See more keywords
Leveraging External Aggregated Information for the Marginal Accelerated Failure Time Model
Sign Up to like & getrecommendations! Published in 2024 at "Statistics in Medicine"
DOI: 10.1002/sim.10224
Abstract: It is becoming increasingly common for researchers to consider leveraging information from external sources to enhance the analysis of small‐scale studies. While much attention has focused on univariate survival data, correlated survival data are prevalent… read more here.
Keywords: information; failure time; time model; accelerated failure ... See more keywords
A Nonparametric Regression Calibration for the Accelerated Failure Time Model With Measurement Error
Sign Up to like & getrecommendations! Published in 2024 at "Statistics in Medicine"
DOI: 10.1002/sim.10299
Abstract: Accelerated failure time models are appealing due to their intuitive interpretation. However, when covariates are subject to measurement errors, naive estimation becomes severely biased. To address this issue, the regression calibration (RC) approach is a… read more here.
Keywords: failure time; regression calibration; measurement error; accelerated failure ... See more keywords
Semiparametric regression analysis of failure time data with dependent interval censoring.
Sign Up to like & getrecommendations! Published in 2017 at "Statistics in medicine"
DOI: 10.1002/sim.7361
Abstract: Interval-censored failure-time data arise when subjects are examined or observed periodically such that the failure time of interest is not examined exactly but only known to be bracketed between two adjacent observation times. The commonly… read more here.
Keywords: dependent interval; time; health; failure time ... See more keywords
Regression analysis of interval-censored failure time data with possibly crossing hazards.
Sign Up to like & getrecommendations! Published in 2018 at "Statistics in medicine"
DOI: 10.1002/sim.7538
Abstract: Interval-censored failure time data occur in many areas, especially in medical follow-up studies such as clinical trials, and in consequence, many methods have been developed for the problem. However, most of the existing approaches cannot… read more here.
Keywords: censored failure; failure time; interval censored; time data ... See more keywords
Strategies for imputing missing covariates in accelerated failure time models.
Sign Up to like & getrecommendations! Published in 2018 at "Statistics in medicine"
DOI: 10.1002/sim.7809
Abstract: Missing covariates often occur in biomedical studies with survival outcomes. Multiple imputation via chained equations (MICE) is a semi-parametric and flexible approach that imputes multivariate data by a series of conditional models, one for each… read more here.
Keywords: time; missing covariates; accelerated failure; time models ... See more keywords
A new perspective on loss to follow-up in failure time and life history studies.
Sign Up to like & getrecommendations! Published in 2019 at "Statistics in medicine"
DOI: 10.1002/sim.8318
Abstract: A framework is proposed for the joint modeling of life history and loss to follow-up (LTF) processes in cohort studies. This framework provides a basis for discussing independence conditions for LTF and censoring and examining… read more here.
Keywords: loss follow; life history; life; failure time ... See more keywords
Subsampling approach for least squares fitting of semi-parametric accelerated failure time models to massive survival data
Sign Up to like & getrecommendations! Published in 2024 at "Statistics and Computing"
DOI: 10.1007/s11222-024-10391-y
Abstract: Massive survival data are increasingly common in many research fields, and subsampling is a practical strategy for analyzing such data. Although optimal subsampling strategies have been developed for Cox models, little has been done for… read more here.
Keywords: failure time; time; massive survival; survival data ... See more keywords