Confidence bands for the difference between two median survival times as a function of covariates

Verfasser / Beitragende:
[Yuh-Ing Chen, Yu-Mei Chang, Jen-Yu Lee]
Ort, Verlag, Jahr:
2015
Enthalten in:
Lifetime Data Analysis, 21/1(2015-01-01), 97-118
Format:
Artikel (online)
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024 7 0 |a 10.1007/s10985-013-9283-3  |2 doi 
035 |a (NATIONALLICENCE)springer-10.1007/s10985-013-9283-3 
245 0 0 |a Confidence bands for the difference between two median survival times as a function of covariates  |h [Elektronische Daten]  |c [Yuh-Ing Chen, Yu-Mei Chang, Jen-Yu Lee] 
520 3 |a In this paper, the estimation of the difference between two median survival times is considered when two treatment groups of right-censored data and the associated covariates are available. To identify the possible range of covariates over which the two treatments would produce different median survival times, two confidence bands for the difference as a function of the covariates are proposed under the stratified and treatment-specific Cox models, respectively. The results of a simulation study indicate that the latter generally maintains its confidence level and the former holds its confidence level and preserves a narrower width when the two treatments satisfy the stratified Cox model. An application of the proposed confidence bands is finally illustrated with a data set in a two-arm lung cancer study. 
540 |a Springer Science+Business Media New York, 2013 
690 7 |a Confidence band  |2 nationallicence 
690 7 |a Median survival time  |2 nationallicence 
690 7 |a Right-censored data  |2 nationallicence 
690 7 |a Stratified Cox model  |2 nationallicence 
690 7 |a Treatment-specific Cox model  |2 nationallicence 
700 1 |a Chen  |D Yuh-Ing  |u Institute of Statistics, National Central University, 320, Jhongli, Taiwan, ROC  |4 aut 
700 1 |a Chang  |D Yu-Mei  |u Department of Statistics, Tunghai University, 407, Taichung, Taiwan, ROC  |4 aut 
700 1 |a Lee  |D Jen-Yu  |u Biostatistics Center, Taipei Medical University, 110, Taipei, Taiwan, ROC  |4 aut 
773 0 |t Lifetime Data Analysis  |d Springer US; http://www.springer-ny.com  |g 21/1(2015-01-01), 97-118  |x 1380-7870  |q 21:1<97  |1 2015  |2 21  |o 10985 
856 4 0 |u https://doi.org/10.1007/s10985-013-9283-3  |q text/html  |z Onlinezugriff via DOI 
898 |a BK010053  |b XK010053  |c XK010000 
900 7 |a Metadata rights reserved  |b Springer special CC-BY-NC licence  |2 nationallicence 
908 |D 1  |a research-article  |2 jats 
949 |B NATIONALLICENCE  |F NATIONALLICENCE  |b NL-springer 
950 |B NATIONALLICENCE  |P 856  |E 40  |u https://doi.org/10.1007/s10985-013-9283-3  |q text/html  |z Onlinezugriff via DOI 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Chen  |D Yuh-Ing  |u Institute of Statistics, National Central University, 320, Jhongli, Taiwan, ROC  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Chang  |D Yu-Mei  |u Department of Statistics, Tunghai University, 407, Taichung, Taiwan, ROC  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Lee  |D Jen-Yu  |u Biostatistics Center, Taipei Medical University, 110, Taipei, Taiwan, ROC  |4 aut 
950 |B NATIONALLICENCE  |P 773  |E 0-  |t Lifetime Data Analysis  |d Springer US; http://www.springer-ny.com  |g 21/1(2015-01-01), 97-118  |x 1380-7870  |q 21:1<97  |1 2015  |2 21  |o 10985