Goodness-of-Fit Methods for Additive-Risk Models in Tumorigenicity Experiments

DOI10.1111/1541-0420.00083zbMath1210.62160OpenAlexW2036765987WikidataQ47401807 ScholiaQ47401807MaRDI QIDQ3079177

Debashis Ghosh

Publication date: 1 March 2011

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/2027.42/66335

zbMATH Keywords

survival analysisinterval censoringadditive hazardscurrent-status dataresidual plot

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Censored data models (62N01) Medical applications (general) (92C50)

Related Items (13)

Semiparametric regression of clustered current status data ⋮ Joint Analysis of Longitudinal Data and Informative Observation Times with Time-Dependent Random Effects ⋮ Estimating equation for additive hazards model with censored length-biased data ⋮ A new method for regression analysis of interval-censored data with the additive hazards model ⋮ Model checking for additive hazards model with multivariate survival data ⋮ Estimation of the additive hazards model with linear inequality restrictions based on current status data ⋮ Semiparametric analysis of the additive hazards model with informatively interval-censored failure time data ⋮ Regression analysis of multivariate current status data with auxiliary covariates under the additive hazards model ⋮ Combined estimating equation approaches for the additive hazards model with left-truncated and interval-censored data ⋮ Semiparametric methods for center effect measures based on the ratio of survival functions ⋮ Additive-multiplicative hazards model with current status data ⋮ Estimation of partially linear single-index additive hazards model with current status data ⋮ A Multiple Imputation Approach to the Analysis of Current Status Data with the Additive Hazards Model

Cites Work

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• Martingale-based residuals for survival models
• Regression Analysis of Tumour Prevalence Data
• Additive hazards regression with current status data
• Checking the Cox model with cumulative sums of martingale-based residuals
• Semiparametric analysis of the additive risk model
• Link-Based Models for Survival Data with Interval and Continuous Time Censoring
• Efficient estimation in additive hazards regression with current status data
• Efficiency Considerations in the Additive Hazards Model with Current Status Data
• Semiparametric Regression for the Mean and Rate Functions of Recurrent Events
• Residuals for Proportional Hazards Models with Interval‐Censored Survival Data

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