A quick omnibus test for the proportional hazards model of random censorship

DOI10.1080/02331888308802412zbMath0808.62045OpenAlexW1990152766MaRDI QIDQ4324730

Norbert Henze

Publication date: 28 February 1995

Published in: Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02331888308802412

zbMATH Keywords

proportional hazards modelsurvival functiongoodness-of-fit testcensored observationsnumber of runs

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Asymptotic properties of nonparametric inference (62G20)

Related Items (15)

Strong consistency of the jackknife estimate of variance and covariance for Koziol-Green integrals ⋮ Universal Gaussian approximations under random censorship ⋮ Nonlinear wavelet density estimation under the Koziol–Green model ⋮ On testing the proportionality of two cumulative incidence functions in a competing risks setup ⋮ Revisiting the two-sample runs test ⋮ Bayesian estimation for randomly censored generalized exponential distribution under asymmetric loss functions ⋮ Testing the Koziol--Green model against monotone conditional odds for censoring. ⋮ The Paradoxical Nature of The Proportional Hazards Model of Random Censorship ⋮ Maximum likelihood estimation in the proportional hazards model of random censorship ⋮ On the generalized maximum likelihood estimator of survival function under Koziol-Green model ⋮ On testing for a survival ratio under random right censoring ⋮ Adaptive positive and negative runs test ⋮ A Bayesian adaptive design for two-stage clinical trials with survival data ⋮ Estimation of the conditional distribution in a conditional Koziol-Green model ⋮ Chi-squared goodness-of-fit theory under proportional censorship

Cites Work

• Unnamed Item
• Maximum likelihood estimation of a survival function under the Koziol- Green proportional hazards model
• Almost sure convergence of certain slowly changing symmetric one- and multi-sample statistics
• Cramér-von mises statistic for testing goodness of fit under the proportional hazards model
• Nonparametric Estimation from Incomplete Observations
• Testing to Determine the Underlying Distribution Using Randomly Censored Data
• Regression with censored data
• Density estimation under the koziol‐green model of censoring by penalized likelihood methods
• On a Test Whether Two Samples are from the Same Population

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