Nonparametric Comparison of Two Survival-Time Distributions in the Presence of Dependent Censoring

DOI10.1111/1541-0420.00059zbMath1210.62047OpenAlexW2143007489WikidataQ47401917 ScholiaQ47401917MaRDI QIDQ3079138

Albert Gregory Dirienzo

Publication date: 1 March 2011

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://biostats.bepress.com/cgi/viewcontent.cgi?article=1000&context=harvardbiostat

zbMATH Keywords

sensitivity analysissurvival analysislog-rank testrandomized clinical trial

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Applications of statistics to biology and medical sciences; meta analysis (62P10) Censored data models (62N01) Testing in survival analysis and censored data (62N03)

Related Items (1)

Rejoinder to “A Note on Using Regression Models to Analyze Randomized Trials: Asymptotically Valid Hypothesis Tests Despite Incorrectly Specified Models”

Cites Work

• Statistical methods for dependent competing risks
• Effects of Model Misspecification on Tests of No Randomized Treatment Effect Arising From Cox’s Proportional Hazards Model
• Bias correction for score tests arising from misspecified proportional hazards regression models
• Dependent competing risks and summary survival curves
• Bounds on Net Survival Probabilities for Dependent Competing Risks
• Comparing two failure time distributions in the presence of dependent censoring
• Estimation of the failure time distribution in the presence of informative censoring
• Adjusting for Nonignorable Drop-Out Using Semiparametric Nonresponse Models
• Correcting for Noncompliance and Dependent Censoring in an AIDS Clinical Trial with Inverse Probability of Censoring Weighted (IPCW) Log‐Rank Tests
• Estimates of marginal survival for dependent competing risks based on an assumed copula

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