Reducing sample size needed for cox-proportional hazards model analysis using more efficient sampling method

DOI10.1080/03610926.2018.1554141OpenAlexW2907237599WikidataQ128689515 ScholiaQ128689515MaRDI QIDQ5078440

Hani M. Samawi, Lili Yu, Haresh D. Rochani, Robert L. Vogel

Publication date: 23 May 2022

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2018.1554141

zbMATH Keywords

survival analysisranked set samplingmoving extreme ranked set samplinghazards ratioCox-proportional hazards model

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (3)

On Improving the Performance of Logistic Regression Analysis Via Extreme Ranking ⋮ Information theory approach to ranked set sampling and new sub-ratio estimators ⋮ Efficient estimation of cumulative distribution function using moving extreme ranked set sampling with application to reliability

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