Name: sas for epidemiologists: applications and methods (en Inglés)
SKU: 25259581
Price: 142270.00 CLP
Availability: InStock
Author: Dimaggio, Charles
ISBN: 9781461448532

portada sas for epidemiologists: applications and methods (en Inglés)

sas for epidemiologists: applications and methods (en Inglés)

Formato

Libro Físico

Autor

Charles Dimaggio

Editorial

Springer

Año

2012

Idioma

Inglés

N° páginas

258

Encuadernación

Tapa Dura

Dimensiones

23.4x15.5x2.3 cm

Peso

0.52 kg.

ISBN

1461448530

ISBN13

9781461448532

Categorías

Investigación médica
Epidemiología y estadística médica
Probabilidad y estadística

sas for epidemiologists: applications and methods (en Inglés)

Charles Dimaggio (Autor) · Springer · Tapa Dura

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Reseña del libro "sas for epidemiologists: applications and methods (en Inglés)"

This comprehensive text covers the use of SAS for epidemiology and public health research. Developed with students in mind and from their feedback, the text addresses this material in a straightforward manner with a multitude of examples. It is directly applicable to students and researchers in the fields of public health, biostatistics and epidemiology. Through a "hands on" approach to the use of SAS for a broad number of epidemiologic analyses, readers learn techniques for data entry and cleaning, categorical analysis, ANOVA, and linear regression and much more. Exercises utilizing real-world data sets are featured throughout the book. SAS screen shots demonstrate the steps for successful programming. SAS (Statistical Analysis System) is an integrated system of software products provided by the SAS institute, which is headquartered in California. It provides programmers and statisticians the ability to engage in many sophisticated statistical analyses and data retrieval and mining exercises. SAS is widely used in the fields of epidemiology and public health research, predominately due to its ability to reliably analyze very large administrative data sets, as well as more commonly encountered clinical trial and observational research data.