Estimating the functional form of a continuous covariate's effect on survival time

DOI10.1016/j.csda.2004.11.008zbMath1431.62496OpenAlexW1984101400MaRDI QIDQ2257607

Norbert Holländer, Martin Schumacher

Publication date: 25 February 2015

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2004.11.008

zbMATH Keywords

model buildingproportional hazards modelrisk functionbootstrap aggregating

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (3)

Comparing measures of model selection for penalized splines in Cox models ⋮ Statistics for functional data ⋮ Trimmed bagging

Uses Software

• Stata
• bootstrap
• bootlib

Cites Work

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• Bagging predictors
• Evaluating the effect of optimized cutoff values in the assessment of prognostic factors
• On the exact distribution of maximally selected rank statistics
• An application of changepoint methods in studying the effect of age on survival in breast cancer.
• Correction of the \(p\)-value after multiple tests in a Cox proportional hazard model
• Analyzing bagging
• Fractional polynomial model selection procedures: investigation of type i error rate
• Local Likelihood Estimation
• Martingale-based residuals for survival models
• Time-Dependent Effects of Fixed Covariates in Cox Regression
• Time-Dependent Hazard Ratio: Modeling and Hypothesis Testing With Application in Lupus Nephritis
• Statistical models based on counting processes
• Regression modeling strategies. With applications to linear models, logistic regression and survival analysis

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