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Survival analysis using SAS : a practical guide /

Biomedical and social science researchers who want to analyze survival data with SAS will find just what they need with this easy-to-read and comprehensive guide. Written for the reader with a modest statistical background and minimal knowledge of SAS software, this book teaches many aspects of data...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Allison, Paul David
Autor Corporativo: SAS Institute
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cary, N.C. : SAS Institute, 1995.
Temas:
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)

MARC

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100 1 |a Allison, Paul David. 
245 1 0 |a Survival analysis using SAS :  |b a practical guide /  |c Paul D. Allison. 
260 |a Cary, N.C. :  |b SAS Institute,  |c 1995. 
300 |a 1 online resource 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
504 |a Includes bibliographical references and index. 
505 0 |a Introduction -- Basic concepts of survival analysis -- Estimating and comparing survival curves with PROC LIFETEST -- Estimating parametric regression models with PROC LIFEREG -- Estimating Cox regression models with PROC PHREG -- Competing risks -- Analysis of tied or discrete data with the LOGISTIC, PROBIT, and GENMOD procedures -- Heterogeneity, repeated events, and other topics -- A guide for the perplexed. 
588 0 |a Print version record. 
520 |a Biomedical and social science researchers who want to analyze survival data with SAS will find just what they need with this easy-to-read and comprehensive guide. Written for the reader with a modest statistical background and minimal knowledge of SAS software, this book teaches many aspects of data input and manipulation. Numerous examples of SAS code and output make this an eminently practical resource, ensuring that even the uninitiated becomes a sophisticated user of survival analysis. The main topics presented include censoring, survival curves, Kaplan-Meier estimation, accelerated failure time models, Cox regression models, and discrete-time analysis. Also included are topics not usually covered, such as time-dependent covariates, competing risks, and repeated events. 
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630 0 0 |a SAS (Computer file) 
630 0 7 |a SAS (Computer file)  |2 blmlsh 
630 0 7 |a SAS (Computer file)  |2 fast 
650 0 |a Failure time data analysis  |x Data processing. 
650 0 |a Survival analysis (Biometry)  |x Data processing. 
650 6 |a Analyse des temps entre défaillances  |x Informatique. 
650 6 |a Analyse de survie (Biométrie)  |x Informatique. 
650 7 |a Failure time data analysis  |x Data processing.  |2 blmlsh 
650 7 |a Survival analysis (Biometry)  |x Data processing.  |2 blmlsh 
650 7 |a Survival analysis (Biometry)  |x Data processing  |2 fast 
650 7 |a Statistik  |2 gnd 
650 7 |a Datenanalyse  |2 gnd 
650 7 |a Ereignisdatenanalyse  |2 gnd 
650 7 |a Überlebungsfunktion  |2 gnd 
650 7 |a Schulausgangsschrift  |2 gnd 
650 7 |a Regressionsanalyse  |2 gnd 
650 7 |a Schätzfunktion  |2 gnd 
650 7 |a Cox-Regressionsmodell  |2 gnd 
710 2 |a SAS Institute. 
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