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  • Textbook
  • © 2013

SAS for Epidemiologists

Applications and Methods

  • Teaches readers to understand the concepts of model building within the context of linear regression

  • Provides examples to conduct simple and stratified categorical data analyses in SAS and understand the concept of confounding within that context

  • Promotes awareness of the role of logistic regression in epidemiology

  • Includes supplementary material: sn.pub/extras

  • Request lecturer material: sn.pub/lecturer-material

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eBook USD 59.99
Price excludes VAT (USA)
  • ISBN: 978-1-4614-4854-9
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book USD 74.99
Price excludes VAT (USA)
Hardcover Book USD 119.99
Price excludes VAT (USA)

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Table of contents (14 chapters)

  1. Front Matter

    Pages i-xvii
  2. Introduction

    • Charles DiMaggio
    Pages 1-5
  3. Working with Data in SAS

    1. Front Matter

      Pages 7-7
    2. The SAS Environment

      • Charles DiMaggio
      Pages 9-18
    3. Working with SAS Data

      • Charles DiMaggio
      Pages 19-40
    4. Preliminary Procedures

      • Charles DiMaggio
      Pages 41-55
    5. Manipulating Data

      • Charles DiMaggio
      Pages 57-76
  4. Descriptive and Categorical Analysis

    1. Front Matter

      Pages 77-77
    2. Descriptive Statistics

      • Charles DiMaggio
      Pages 79-89
    3. Histograms and Plots

      • Charles DiMaggio
      Pages 91-98
    4. Categorical Data Analysis I

      • Charles DiMaggio
      Pages 99-118
    5. Categorical Data Analysis II

      • Charles DiMaggio
      Pages 119-135
  5. Continuous Data and Regression

    1. Front Matter

      Pages 137-137
    2. ANOVA

      • Charles DiMaggio
      Pages 159-186
    3. Correlation

      • Charles DiMaggio
      Pages 187-195
    4. Linear Regression

      • Charles DiMaggio
      Pages 197-212
    5. Regression Diagnostics

      • Charles DiMaggio
      Pages 213-229
  6. Back Matter

    Pages 231-258

About this book

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.   

Keywords

  • Bioinformatics
  • Clinical Trials
  • Epidemiology
  • Observational Studies
  • SAS

Reviews

“The material in this text is based on a one-semester course for master’s level students in epidemiology and public health at Columbia University developed over the past several years by the author. The intent of the course is to enable students to be able to analyze epidemiological data using SAS software, which is one of the most popular commercial software products in use today across many sectors.” (Stephen J. Ganocy, Technometrics, Vol. 56 (3), August, 2014)

Authors and Affiliations

  • , Dept of Anesthesiology & Epidemiology, Columbia University, New York, USA

    Charles DiMaggio

About the author

Dr. Charles DiMaggio is associate professor in the departments of anesthesiology and epidemiology at Columbia University’s College of Physicians and Surgeons and the Mailman School of Public Health. He is an injury epidemiologist whose  work includes describing and analyzing the epidemiology of pediatric pedestrian injuries for the New York City Department of Transportation, establishing a surveillance program to track and explain the behavioral health effects of the terrorist attacks of September 11th, 2001 in New York, and investigating the developmental and behavioral effects of anesthesia on young children.   He has an active interest in the application of epidemiological approaches to large data sets, and teaches introductory and advanced methods using  the SAS and R programming languages.  Dr. DiMaggio's previous positions include chief research scientist with the Nassau County, NY, Department of Health where he worked on a variety of projects including bioterrorism preparedness, syndromic surveillance, and health disparities, and as chief physician assistant and director of research for the emergency department at Mt. Sinai School of Medicine at Elmhurst Hospital Center in NY.

Bibliographic Information

  • Book Title: SAS for Epidemiologists

  • Book Subtitle: Applications and Methods

  • Authors: Charles DiMaggio

  • DOI: https://doi.org/10.1007/978-1-4614-4854-9

  • Publisher: Springer New York, NY

  • eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)

  • Copyright Information: Springer Science+Business Media New York 2013

  • Hardcover ISBN: 978-1-4614-4853-2

  • Softcover ISBN: 978-1-4939-4260-2

  • eBook ISBN: 978-1-4614-4854-9

  • Edition Number: 1

  • Number of Pages: XVII, 258

  • Topics: Statistics, Biostatistics

Buying options

eBook USD 59.99
Price excludes VAT (USA)
  • ISBN: 978-1-4614-4854-9
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book USD 74.99
Price excludes VAT (USA)
Hardcover Book USD 119.99
Price excludes VAT (USA)