Frailty models for arbitrarily censored and truncated data

DOI10.1007/s10985-004-4773-yzbMath1058.62102OpenAlexW1978958828WikidataQ30982029 ScholiaQ30982029MaRDI QIDQ1770868

Filia Vonta, Catherine Huber-Carol

Publication date: 7 April 2005

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

Full work available at URL: https://doi.org/10.1007/s10985-004-4773-y

zbMATH Keywords

censored datafrailty modelstruncated datagamma frailtytransformation modelsnonparametric maximum likelihood estimationinverse gaussian frailty

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05) Censored data models (62N01) Estimation in survival analysis and censored data (62N02)

Related Items

A note on the prediction of frailties with misspecified shared frailty models, Efficient Regression Estimation Under General Censoring and Truncation, On Generalized Tests of Fit for Multinomial Populations, Information Measures in Biostatistics and Reliability Engineering, Estimation of density by indirect observations, A flexible parametric approach for analyzing arbitrarily censored data that are potentially subject to left truncation under the proportional hazards model, A divergence test for autoregressive time series models, Confidence intervals for the difference between two median survival times for clustered survival data, Comparative Studies on Frailties in Survival Analysis, A semiparametric model for interval censored and truncated data, Interval censored and truncated data: Rate of convergence of NPMLE of the density, A NEW FAMILY OF DIVERGENCE MEASURES FOR TESTS OF FIT, Conditional MLE for the proportional hazards model with left-truncated and interval-censored data

Cites Work

• Unnamed Item
• Efficient estimation for the proportional hazards model with interval censoring
• Estimation in the Cox Proportional Hazards Model with Left-Truncated and Interval-Censored Data
• Life table methods for heterogeneous populations: Distributions describing the heterogeneity
• Multivariate Generalizations of the Proportional Hazards Model
• Survival models for heterogeneous populations derived from stable distributions
• Nonparametric analysis of truncated survival data, with application to AIDS
• Inference Based on Retrospective Ascertainment: An Analysis of the Data on Transfusion-Related AIDS
• Analysis of transformation models with censored data
• A Proportional Hazards Model for Truncated AIDS Data
• A Proportional Hazards Model for Arbitrarily Censored and Truncated Data
• A Proportional Hazards Model for Interval-Censored Failure Time Data
• Consistency of the NPML Estimator in the Right-Censored Transformation Model