Author: Charles DiMaggio
Edition: 2013
Publisher: Springer
Binding: Hardcover
ISBN: 1461448530
SAS for Epidemiologists: Applications and Methods
This comprehensive text covers the use of SAS for epidemiology and public health research. Medical books SAS for Epidemiologists. 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 Medical books SAS for Epidemiologists: Applications and Methods (2013 Edition) by. SAS for Epidemiologists: Applications and Methods (2013 Edition) by Dimaggio, Charles [Hardcover]
Download link for Sas For Epidemiologists: Applications And Methods By Charles Dimaggio Hardco
SAS for Epidemiologists: Applications and Methods (2013 Edition) by Dimaggio, Charles [Hardcover]
author charles dimaggio format hardback language english publication year 25 10 2012 subject medicine subject 2 medicine general sas for epidemiologists by charles dimaggio published by not quite what you re looking for see more books in other free uk delivery on everything not even the right subject see books in arts design and entertainment business and commerce computing and it history and topography language and linguistics law and criminology literature and writing medicine and health philo
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-
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
Medical Book SAS for Epidemiologists
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.
