Analysis of survival data with cross-effects of survival functions

DOI10.1093/BIOSTATISTICS/KXG045zbMath1154.62374OpenAlexW4317929604WikidataQ30939319 ScholiaQ30939319MaRDI QIDQ5701273

M. A. Hafdi, Mikhail S. Nikulin, Vilijandas B. Bagdonavičius

Publication date: 2 November 2005

Published in: Biostatistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1093/biostatistics/kxg045

zbMATH Keywords

SurvivalSemiparametric likelihoodRadiotherapyPH modelCE modelChemotherapyChi-squared type testCross-effectsGastric cancer dataGastrointestinal tumorGPH modelHougaard-Aalen modelHsieh Model

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05) Estimation in survival analysis and censored data (62N02) Testing in survival analysis and censored data (62N03)

Related Items (14)

A partial score test for difference among heterogeneous populations ⋮ Modeling and analysis of data with confounding covariates and crossing of the hazard functions ⋮ Comparing crossing hazard rate functions by joint modelling of survival and longitudinal data ⋮ Efficiency improvement in a class of survival models through model-free covariate incorporation ⋮ Goodness-of-fit criteria for the Cox model from left truncated and right censored data ⋮ Homogeneity Tests for Related Samples Under Censoring ⋮ Modelling and Testing of Presence of Hazard Rates Crossing Under Censoring ⋮ Statistical analysis of survival and reliability data with multiple crossings of survival functions ⋮ Asymptotic analysis of a new dynamic semiparametric regression model with cross-effects of survivals ⋮ Information bounds and efficient estimation in a class of censored transformation models ⋮ Use of log - log survival function in modeling time-covariate interactions in Cox regression ⋮ Testing absence of hazard rates crossing ⋮ Comparing quantile residual life functions by confidence bands ⋮ Statistical Models to Analyze Failure, Wear, Fatigue, and Degradation Data with Explanatory Variables

This page was built for publication: Analysis of survival data with cross-effects of survival functions