An estimator for the proportional hazards model with multiple longitudinal covariates measured with error
From MaRDI portal
Publication:5701164
DOI10.1093/biostatistics/3.4.511zbMath1138.62360OpenAlexW2102756648WikidataQ44857903 ScholiaQ44857903MaRDI QIDQ5701164
Marie Davidian, Anastasios A. Tsiatis, Xiao Song
Publication date: 2 November 2005
Published in: Biostatistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1093/biostatistics/3.4.511
Proportional hazards modelMeasurement errorSemiparametricTablesMixed effects modelClinical trialsConditional scoreSurrogate marker
Applications of statistics to biology and medical sciences; meta analysis (62P10) Estimation in survival analysis and censored data (62N02)
Related Items (37)
A semiparametric copula method for Cox models with covariate measurement error ⋮ Multivariate t semiparametric mixed-effects model for longitudinal data with multiple characteristics ⋮ Estimation of the Asymptotic Variance of Semiparametric Maximum Likelihood Estimators in the Cox Model with a Missing Time-Dependent Covariate ⋮ Semiparametric Bayesian joint models of multivariate longitudinal and survival data ⋮ A fast approximate EM algorithm for joint models of survival and multivariate longitudinal data ⋮ Faster Monte Carlo estimation of joint models for time-to-event and multivariate longitudinal data ⋮ A new joint model for longitudinal and survival data with a cure fraction ⋮ Joint model of multiple longitudinal measures and a binary outcome: An application to predict orthostatic hypertension for subacute stroke patients ⋮ Bayesian two-component measurement error modelling for survival analysis using INLA -- a case study on cardiovascular disease mortality in Switzerland ⋮ Joint modeling of longitudinal and survival data with the Cox model and two-phase sampling ⋮ Semiparametric maximum likelihood estimation in Cox proportional hazards model with covariate measurement errors ⋮ An approach for jointly modeling multivariate longitudinal measurements and discrete time-to-event data ⋮ Variable selection for proportional hazards models with high‐dimensional covariates subject to measurement error ⋮ Estimation in multivariate linear mixed models for longitudinal data with multiple outputs: Application to PBCseq data analysis ⋮ Multivariate linear mixed models with censored and nonignorable missing outcomes, with application to AIDS studies ⋮ Semiparametric Approaches for Joint Modeling of Longitudinal and Survival Data with Time-Varying Coefficients ⋮ Variable selection for partially linear proportional hazards model with covariate measurement error ⋮ The joint model of the logistic model and linear random effect model -- an application to predict orthostatic hypertension for subacute stroke patients ⋮ Analysis of joint multiple failure mode and linear degradation data with renewals ⋮ A Flexible B‐Spline Model for Multiple Longitudinal Biomarkers and Survival ⋮ Approximate nonparametric corrected-score method for joint modeling of survival and longitudinal data measured with error ⋮ On Corrected Score Approach for Proportional Hazards Model with Covariate Measurement Error ⋮ Semiparametric Bayesian analysis of transformation linear mixed models ⋮ ECM-based maximum likelihood inference for multivariate linear mixed models with autoregressive errors ⋮ A review of multivariate longitudinal data analysis ⋮ Stochastic model for analysis of longitudinal data on aging and mortality ⋮ A review on joint models in biometrical research ⋮ A corrected pseudo-score approach for additive hazards model with longitudinal covariates measured with error ⋮ Predictive comparison of joint longitudinal-survival modeling: a case study illustrating competing approaches ⋮ Locally Efficient Semiparametric Estimators for Proportional Hazards Models with Measurement Error ⋮ Joint models for multiple longitudinal processes and time-to-event outcome ⋮ Consistent estimation of a joint model for multivariate longitudinal and survival data with latent variables ⋮ Proportional Hazards Model With Covariate Measurement Error and Instrumental Variables ⋮ Joint Models for Multivariate Longitudinal and Multivariate Survival Data ⋮ The proportional hazards model with covariate measurement error ⋮ Multivariatetlinear mixed models for irregularly observed multiple repeated measures with missing outcomes ⋮ Non-parametric estimation from simultaneous renewal -- failure -- degradation data with competing risks
This page was built for publication: An estimator for the proportional hazards model with multiple longitudinal covariates measured with error
