Step‐function covariate effects in the proportional‐hazards model
DOI10.2307/3315439zbMath0833.62096OpenAlexW2090886241MaRDI QIDQ4855328
John J. Crowley, Michael L. LeBlanc
Publication date: 6 March 1996
Published in: Canadian Journal of Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.2307/3315439
clinical trialcensored survival datacomputer-intensive methodstree-based modelscomputationally efficient methodsexploratory survival-data analysispiecewise constant relative risk functionsproportional-hazards models
Density estimation (62G07) Nonparametric hypothesis testing (62G10) Applications of statistics to biology and medical sciences; meta analysis (62P10) Probabilistic methods, stochastic differential equations (65C99)
Related Items (1)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Linear smoothers and additive models
- Cox's regression model for counting processes: A large sample study
- Asymptotic score-statistic processes and tests for constant hazard against a change-point alternative
- Multivariate adaptive regression splines
- Smoothing noisy data with spline functions: Estimating the correct degree of smoothing by the method of generalized cross-validation
- Local Likelihood Estimation
- Martingale-based residuals for survival models
- Regression Trees for Censored Data
- Maximally Selected Chi Square Statistics
- Hypothesis Testing When a Nuisance Parameter is Present Only Under the Alternative
- Confidence Sets in Change-Point Problems
- A new look at the statistical model identification
This page was built for publication: Step‐function covariate effects in the proportional‐hazards model
