Testing for sufficient follow-up in survival data.

DOI10.1016/S0167-7152(00)00063-8zbMath1146.62353MaRDI QIDQ1587699

Pao-sheng Shen

Publication date: 3 December 2000

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

zbMATH Keywords

Censored dataMixture modelsImmune

Mathematics Subject Classification ID

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

Related Items (3)

Splitting the sample at the largest uncensored observation ⋮ Nonparametric estimation of conditional cure models for heavy-tailed distributions and under insufficient follow-up ⋮ Mixture cure model methodology in survival analysis: some recent results for the one-sample case

Cites Work

• Unnamed Item
• Exponential mixture models with long-term survivors and covariates
• Nonparametric Estimation from Incomplete Observations
• Estimating the proportion of immunes in a censored sample
• Testing for Sufficient Follow-Up and Outliers in Survival Data

This page was built for publication: Testing for sufficient follow-up in survival data.