Study for prognosis and survival rate of ovarian cancer

DOI10.1007/S10255-018-0781-7zbMath1404.62130OpenAlexW2895044146MaRDI QIDQ1617018

Xiang-Zhong Fang, Han-Jun Yu, Zhao-Nan Li, Wei Zhu

Publication date: 7 November 2018

Published in: Acta Mathematicae Applicatae Sinica. English Series (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10255-018-0781-7

zbMATH Keywords

ovarian cancerCox proportional hazards modelsurvival rateconditional inference treetwo-step Cox regression

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Censored data models (62N01) Reliability and life testing (62N05)

Uses Software

• C4.5

Cites Work

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• The asymptotic theory of permutation statistics.
• Proportional hazards tests and diagnostics based on weighted residuals
• Validity and Efficiency of Approximation Methods for Tied Survival Times in Cox Regression
• Marginal likelihoods based on Cox's regression and life model

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