A survey of microcomputer survival analysis software: the need for an integrated framework.
The writers survey commercially available MS-DOS and Microsoft Windows based microcomputer software for survival analysis, particularly for Cox proportional hazards regression and parametric survival models. In the course of their survey, they stress functionality, documentation, generality, and fle...
| Publicado en: | American Statistician Vol. 51; no. 4; pp. 360 - 374 |
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| Autores principales: | , |
| Formato: | Product Evaluation |
| Publicado: |
American Statistical Association
November 1997
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=507602586&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 507602586 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00031305 STT jtl: American Statistician issn: 00031305 maglogo: N pubinfo: dt: November 1997 vid: 51 iid: 4 pid: 543 pub: American Statistical Association artinfo: ui: 507602586 10.2307/2685907 ppf: 360 ppct: 14 formats: tig: atl: A survey of microcomputer survival analysis software: the need for an integrated framework. aug: au: Harrell, Frank E. Goldstein, Richard su: Survivor function (Statistics) Statistical software Survival analysis (Biometry) Computer software sug: subj: Survivor function (Statistics) Statistical software Survival analysis (Biometry) Computer software ab: The writers survey commercially available MS-DOS and Microsoft Windows based microcomputer software for survival analysis, particularly for Cox proportional hazards regression and parametric survival models. In the course of their survey, they stress functionality, documentation, generality, and flexibility of software. They consider the need for software integration and maintain that survival analysis software not closely linked to well-designed package will not satisfy an analyst's general requirements. They argue that although some stand-alone programs are good tools for instruction in the theory of some survival analysis procedures, they may not impart to the student good data analysis techniques. Finally, they compare typical software with a general, integrated, modeling framework that is available with S-PLUS. pubtype: Academic Journal doctype: Product Evaluation src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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