Checking the censored two-sample accelerated life model using integrated cumulative hazard difference

DOI10.1007/S10985-007-9039-ZzbMath1331.62396OpenAlexW1967998765WikidataQ51913776 ScholiaQ51913776MaRDI QIDQ636127

Seung-Hwan Lee, Song Yang

Publication date: 25 August 2011

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

Full work available at URL: http://hdl.handle.net/2346/11566

zbMATH Keywords

censored datamartingale residualslack-of-fit testsaccelerated life

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Testing in survival analysis and censored data (62N03) Reliability and life testing (62N05)

Related Items (4)

Assessing the censored linear regression model using martingale approximation ⋮ Interval estimation for extreme value parameter with censored data ⋮ Maximum of the weighted Kaplan–Meier tests for the two-sample censored data ⋮ Using integrated weighted survival difference for the two-sample censored data problem

Cites Work

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• Nonparametric Estimation from Incomplete Observations
• A simple test of the proportional hazards assumption
• Checking the Cox model with cumulative sums of martingale-based residuals
• Some Scale Estimators and Lack-of-Fit Tests for the Censored Two-Sample Accelerated Life Model
• Survival Analysis with Median Regression Models
• Semiparametric analysis of short-term and long-term hazard ratios with two-sample survival data
• On the extended log-rank estimating function for the censored regression model

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