Statistical analysis of medical data using SAS / Geoff Der, Brian S. Everitt
Tipo de material:
TextoDetalles de publicación: Boca Ratón : Chapman, 2005 Descripción: 428 p. ; 25 cmISBN: 1-58488-469-XTema(s): SAS (Archivo de ordenador) | Medicina del trabajo -- Proceso de datos | Estadística matemáticaResumen: Clinicians, not being trained experts in advanced statistical analysis, encounter increasing amounts of medical data, and require knowledge of sophisticated statistical methods to interpret this data and glean meaningful results. This text demonstrates how to use the SAS software package to analyze medical data, and translate it into a usable and meaningful format for practitioners. The authors detail particular analytical procedures, but focus on allowing users of SAS to implement the procedures and to correctly interpret the output. The book is useful to SAS users who are not primarily statisticians, but will also be of use to applied statisticians working with medical data.
| Tipo de ítem | Biblioteca de origen | Signatura | URL | Estado | Fecha de vencimiento | Código de barras | Reserva de ítems |
|---|---|---|---|---|---|---|---|
| Manuales | 05. BIBLIOTECA FAC. ENFERMERÍA Y FISIOTERAPIA | 1209/03/STA (Navegar estantería(Abre debajo)) | Texto completo | Disponible Ubicación en estantería | Bibliomaps® | 3741686389 |
Total de reservas: 0
Índice
Bibliografía: p. 411-415
Clinicians, not being trained experts in advanced statistical analysis, encounter increasing amounts of medical data, and require knowledge of sophisticated statistical methods to interpret this data and glean meaningful results. This text demonstrates how to use the SAS software package to analyze medical data, and translate it into a usable and meaningful format for practitioners. The authors detail particular analytical procedures, but focus on allowing users of SAS to implement the procedures and to correctly interpret the output. The book is useful to SAS users who are not primarily statisticians, but will also be of use to applied statisticians working with medical data.
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