Tests for Variation Over Groups in Survival Data

DOI10.2307/2291143zbMath0819.62088OpenAlexW4232347459MaRDI QIDQ4836980

Robert J. Gray

Publication date: 21 June 1995

Full work available at URL: https://doi.org/10.2307/2291143

zbMATH Keywords

proportional hazardssurvival dataclinical trialcounting processescorrelated datacensored failure time datalocally most powerful testslung cancer trialnull hypothesis of no variationsums of martingale residuals

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Inference from stochastic processes (62M99)

Related Items (13)

Bayesian variable selection under the proportional hazards mixed-effects model ⋮ Selecting Factors Predictive of Heterogeneity in Multivariate Event Time Data ⋮ Score test of homogeneity for survival data. (With discussion) ⋮ A Weibull-based score test for heterogeneity ⋮ On proportional hazards assumption under the random effects models ⋮ A Note on Permutation Tests for Variance Components in Multilevel Generalized Linear Mixed Models ⋮ Testing for center effects on survival and competing risks outcomes using pseudo-value regression ⋮ Bayesian Semiparametric Frailty Selection in Multivariate Event Time Data ⋮ Testing homogeneity in Weibull error in variables models ⋮ A Frailty Model for Informative Censoring ⋮ Testing the Correlation for Clustered Categorical and Censored Discrete Time-to-Event Data When Covariates Are Measured without/with Errors ⋮ The Use of Score Tests for Inference on Variance Components ⋮ On a convergent stochastic estimation algorithm for frailty models

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