“Smooth” Semiparametric Regression Analysis for Arbitrarily Censored Time-to-Event Data

DOI10.1111/j.1541-0420.2007.00928.xzbMath1137.62082OpenAlexW2078836124WikidataQ31134809 ScholiaQ31134809MaRDI QIDQ3506507

Marie Davidian, Min Zhang

Publication date: 13 June 2008

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc2575078

zbMATH Keywords

interval censoringheteroscedasticityproportional hazards modelproportional odds modeltime-dependent covariatesaccelerated failure time model

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Applications of statistics to biology and medical sciences; meta analysis (62P10) Censored data models (62N01)

Related Items (16)

Flexible modeling of survival data with covariates subject to detection limits via multiple imputation ⋮ Semi-parametric estimation of incubation and generation times by means of Laguerre polynomials ⋮ Laplace approximated quasi-likelihood method for heteroscedastic survival data ⋮ A flexible parametric approach for analyzing arbitrarily censored data that are potentially subject to left truncation under the proportional hazards model ⋮ Maximum approximate likelihood estimation in accelerated failure time model for interval‐censored data ⋮ Smooth semiparametric and nonparametric Bayesian estimation of bivariate densities from bivariate histogram data ⋮ Semi-parametric frailty model for clustered interval-censored data ⋮ Testing error heterogeneity in censored linear regression ⋮ Estimating Regression Parameters in an Extended Proportional Odds Model ⋮ Bayesian Spatial Survival Models ⋮ Model averaging quantiles from data censored by a limit of detection ⋮ Smooth Semi-nonparametric Analysis for Mixture Cure Models and Its Application to Breast Cancer ⋮ Predictive comparison of joint longitudinal-survival modeling: a case study illustrating competing approaches ⋮ Semiparametric sieve maximum likelihood estimation for accelerated hazards model with interval-censored data ⋮ Tutorial on methods for interval-censored data and their implementation in R ⋮ Most Likely Transformations

Uses Software

• rankreg

Cites Work

• Unnamed Item
• Unnamed Item
• Linear Mixed Models with Flexible Distributions of Random Effects for Longitudinal Data
• Semi-Nonparametric Maximum Likelihood Estimation
• Estimation in a linear regression model with censored data
• Estimating regression parameters using linear rank tests for censored data
• Qualitative and asymptotic performance of SNP density estimators
• Semiparametric efficient estimation in the generalized odds-rate class of regression models for right-censored time-to-event data
• The statistical analysis of interval-censored failure time data.
• On a general class of semiparametric hazards regression models
• Computationally simple accelerated failure time regression for interval censored data
• Estimation in the Cox Proportional Hazards Model with Left-Truncated and Interval-Censored Data
• Hazard Regression for Interval-Censored Data with Penalized Spline
• Smoothing Spline-Based Score Tests for Proportional Hazards Models
• A Semiparametric Model for Regression Analysis of Interval-Censored Failure Time Data
• Analysis of transformation models with censored data
• Inference Based on Imputed Failure Times for the Proportional Hazards Model with Interval-Censored Data
• Linear regression with censored data
• Predicting Survival Probabilities With Semiparametric Transformation Models
• Maximum Likelihood Estimation in the Proportional Odds Model
• Hazard Regression with Interval-Censored Data
• Semiparametric analysis of transformation models with censored data
• Rank-based inference for the accelerated failure time model
• Semiparametric Inference in the Proportional Odds Regression Model
• Analysis of Accelerated Hazards Models
• A Penalized Likelihood Approach for Arbitrarily Censored and Truncated Data: Application to Age-Specific Incidence of Dementia
• Estimation of Regression Parameters and the Hazard Function in Transformed Linear Survival Models
• A Multiple Imputation Approach to Cox Regression with Interval‐Censored Data
• Bayesian Information Criterion for Censored Survival Models
• Semiparametric Regression Analysis of Interval‐Censored Data
• A Proportional Hazards Model for Interval-Censored Failure Time Data
• On least-squares regression with censored data
• On the accelerated failure time model for current status and interval censored data

This page was built for publication: “Smooth” Semiparametric Regression Analysis for Arbitrarily Censored Time-to-Event Data