Robust Wald‐type tests under random censoring

Randomly censored survival data are frequently encountered in biomedical or reliability applications and clinical trial analyses. Testing the significance of statistical hypotheses is crucial in such analyses to get conclusive inference but the existing likelihood‐based tests, under a fully parametr...

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Veröffentlicht in:	Statistics in medicine Jg. 40; H. 5; S. 1285 - 1305
Hauptverfasser:	Ghosh, Abhik, Basu, Ayanendranath, Pardo, Leandro
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	England Wiley Subscription Services, Inc 28.02.2021
Schlagworte:	clinical trial analysis informative censoring minimum density power divergence estimator M‐estimator random censored data robust hypothesis testing robust hypothesis testing minimum density power divergence estimator informative censoring clinical trial analysis random censored data M-estimator
ISSN:	0277-6715, 1097-0258, 1097-0258
Online-Zugang:	Volltext
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