Logrank-type tests for comparing survival curves with interval-censored data

DOI10.1016/J.CSDA.2005.06.014zbMath1445.62271OpenAlexW1988914636MaRDI QIDQ959402

Jinheum Kim, Chung Mo Nam, Dae Ryong Kang

Publication date: 11 December 2008

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2005.06.014

zbMATH Keywords

EM algorithmscore testmultiple imputationlung cancer post-operative study

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Cites Work

• Survival analysis. Techniques for censored and truncated data
• Self-consistency estimation of distributions based on truncated and doubly censored survival data with applications to AIDS cohort studies.
• Nonparametric test for doubly interval-censored failure time data
• Nonparametric Estimation from Incomplete Observations
• A Semiparametric Model for Regression Analysis of Interval-Censored Failure Time Data
• Empirical Estimation of a Distribution Function with Truncated and Doubly Interval-Censored Data and Its Application to AIDS Studies
• A Proportional Hazards Model for Interval-Censored Failure Time Data
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