A study of R2 measure under the accelerated failure time models
DOI10.1080/03610918.2016.1177072zbMath1402.62235OpenAlexW2402344274WikidataQ53415665 ScholiaQ53415665MaRDI QIDQ4563416
Christina D. Chambers, Ronghui Xu, Priscilla H. Chan
Publication date: 1 June 2018
Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610918.2016.1177072
log-normal distributionerror distributiontransformation modelsexplained variationsemiparametric AFT modelcensoring type
Applications of statistics to biology and medical sciences; meta analysis (62P10) Censored data models (62N01) Reliability and life testing (62N05)
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Cites Work
- An information-theoretic approach to surrogate-marker evaluation with failure time endpoints
- Khmaladze-type graphical evaluation of the proportional hazards assumption
- A measure of explained risk in the proportional hazards model
- Information gain and a general measure of correlation
- Measures of dependence for censored survival data
- Predictive capability of proportional hazards regression.
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