Estimating duration distribution aided by auxiliary longitudinal measures in presence of missing time origin

DOI10.1007/S10985-021-09520-WOpenAlexW3144073442MaRDI QIDQ825268

W. John Braun, X. Joan Hu, Yi Xiong

Publication date: 17 December 2021

Published in: Lifetime Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10985-021-09520-w

zbMATH Keywords

interval censoringmixed effects modelfirst-hitting-time modeljoint modellingWiener process with random drift

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Survival analysis and censored data (62Nxx)

Related Items (1)

Regression Analysis of Spatially Correlated Event Durations With Missing Origins Annotated by Longitudinal Measures

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Modeling event times with multiple outcomes using the Wiener process with drift
• Covariates and random effects in a Gamma process model with application to degradation and failure
• Wiener processes with random effects for degradation data
• Survival analysis. Techniques for censored and truncated data.
• Gaussian models for degradation processes. I: Methods for the analysis of biomarker data
• Asymptotic behavior of the unconditional NPMLE of the length-biased survivor function from right censored prevalent cohort data
• Threshold regression for survival analysis: modeling event times by a stochastic process reaching a boundary
• Introduction to empirical processes and semiparametric inference
• Local likelihood density estimation for interval censored data
• Nonparametric estimation for length-biased and right-censored data
• Remarks on Some Nonparametric Estimates of a Density Function
• Bayesian random-effects threshold regression with application to survival data with nonproportional hazards
• Statistical monitoring of clinical trials with multivariate response and/or multiple arms: a flexible approach
• Approximation Theorems of Mathematical Statistics
• Estimation of a failure time distribution based on imperfect diagnostic tests
• Using Degradation Measures to Estimate a Time-to-Failure Distribution
• Interim analyses using repeated confidence bands
• A semiparametric inverse‐Gaussian model and inference for survival data with a cured proportion
• Equation of State Calculations by Fast Computing Machines
• Ascent-Based Monte Carlo Expectation– Maximization
• Monte Carlo sampling methods using Markov chains and their applications
• Models for Variable-Stress Accelerated Life Testing Experiments Based on Wiener Processes and the Inverse Gaussian Distribution

This page was built for publication: Estimating duration distribution aided by auxiliary longitudinal measures in presence of missing time origin