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Volumn 37, Issue 12, 2007, Pages 1741-1749

Making relative survival analysis relatively easy

Author keywords

Population tables; R software; Regression; Relative survival

Indexed keywords

COMPUTER AIDED SOFTWARE ENGINEERING; HUMAN ENGINEERING; INFORMATION ANALYSIS; PROBLEM SOLVING; REGRESSION ANALYSIS;

EID: 35348887137     PISSN: 00104825     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compbiomed.2007.04.010     Document Type: Article
Times cited : (70)

References (14)
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  • 2
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    • R Development Core Team. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria, 2005. URL 〈http://www.R-project.org〉. ISBN 3-900051-07-0.
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    • Additive and multiplicative models for relative survival rates
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    • Giorgi, R.1    Abrahamowicz, M.2    Quantin, C.3    Bolard, P.4    Estève, J.5    Gouvernet, J.6    Faivre, J.7
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    • Additive and multiplicative covariate regression models for relative survival incorporating fractional polynomials for time-dependent effects
    • Lambert P.C., Smith L.K., Jones R.J., and Botha J.L. Additive and multiplicative covariate regression models for relative survival incorporating fractional polynomials for time-dependent effects. Stat. Med. 24 (2005) 3871-3885
    • (2005) Stat. Med. , vol.24 , pp. 3871-3885
    • Lambert, P.C.1    Smith, L.K.2    Jones, R.J.3    Botha, J.L.4
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    • T. Therneau, J. Offord, Expected survival based on hazard rates (update). Technical Report 63, Section of Biostatistics, Mayo Clinic, 1999.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.