Conditional maximum likelihood estimation in semiparametric transformation model with LTRC data

DOI10.1007/S10985-016-9385-9zbMath1468.62374OpenAlexW2586594009WikidataQ31160047 ScholiaQ31160047MaRDI QIDQ1642142

Chyong-Mei Chen, Pao-sheng Shen

Publication date: 20 June 2018

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

Full work available at URL: https://doi.org/10.1007/s10985-016-9385-9

zbMATH Keywords

proportional hazards modelproportional odds modelsemiparametric transformation modelmaximum conditional likelihoodtruncation data

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) Estimation in survival analysis and censored data (62N02)

Related Items (4)

Estimating equation for additive hazards model with censored length-biased data ⋮ A flexible parametric approach for analyzing arbitrarily censored data that are potentially subject to left truncation under the proportional hazards model ⋮ U-Statistics for left truncated and right censored data ⋮ Conditional maximum likelihood estimation for semiparametric transformation models with doubly truncated data

Uses Software

• timereg

Cites Work

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• Survival analysis. Techniques for censored and truncated data
• Assumptions regarding right censoring in the presence of left truncation
• Dynamic regression models for survival data.
• Semiparametric analysis of transformation models with left-truncated and right-censored data
• Checking semiparametric transformation models with censored data
• Combined estimating equation approaches for semiparametric transformation models with length-biased survival data
• Estimation in the Cox Proportional Hazards Model with Left-Truncated and Interval-Censored Data
• Weighted Breslow-type and maximum likelihood estimation in semiparametric transformation models
• Efficient estimation of semiparametric transformation models for counting processes
• Product limit estimates: a generalized maximum likelihood study
• Estimation and Testing in a Two-Sample Generalized Odds-Rate Model
• A Semiparametric Model for Randomly Truncated Data
• Analysis of transformation models with censored data
• Nonparametric Estimation from Cross-Sectional Survival Data
• Maximum Likelihood Estimation in the Proportional Odds Model
• Semiparametric analysis of transformation models with censored data
• A Unified Approach to Semiparametric Transformation Models Under General Biased Sampling Schemes
• Semiparametric analysis of transformation models with dependently left-truncated and right-censored data
• Statistical Models for Prevalent Cohort Data
• Testing Goodness of Fit of a Uniform Truncation Model
• Estimating a distribution function with truncated data

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