Testing for Sufficient Follow-Up and Outliers in Survival Data
From MaRDI portal
Publication:4323578
DOI10.2307/2291012zbMath0810.62098OpenAlexW4252704110MaRDI QIDQ4323578
Publication date: 23 February 1995
Full work available at URL: https://doi.org/10.2307/2291012
WeibullKaplan-Meier estimatordiagnostic testfailure timesimmune proportiontest for outliersrecidivismexponential datacensored failure datacriminological datafollow-up timeKaplan- Meier empirical distribution function
Nonparametric hypothesis testing (62G10) Applications of statistics to biology and medical sciences; meta analysis (62P10) Parametric hypothesis testing (62F03)
Related Items (13)
On modifications to the long-term survival mixture model in the presence of competing risks ⋮ A new semiparametric estimation method for accelerated hazards mixture cure model ⋮ A new approach to testing for sufficient follow-up in cure-rate analysis ⋮ Renovating interval-censored responses ⋮ Nonparametric Scanning Tests of Homogeneity for Hierarchical Models with Continuous Covariates ⋮ Exposure assessment for Cox proportional hazards cure models with interval‐censored survival data ⋮ Classification of ``cured individuals in survival analysis: the mixture approach to the diagnostic-prognostic problem ⋮ Nonparametric cure rate estimation with covariates ⋮ Spline-based estimation of cure rates: An application to the analysis of breast cancer data ⋮ Vertical modeling: analysis of competing risks data with a cure fraction ⋮ Mixture cure model methodology in survival analysis: some recent results for the one-sample case ⋮ Nonparametric incidence estimation and bootstrap bandwidth selection in mixture cure models ⋮ Testing for sufficient follow-up in survival data.
This page was built for publication: Testing for Sufficient Follow-Up and Outliers in Survival Data
