
Biostatistics and Computer-based Analysis of Health Data Using SAS
ISTE Press - Elsevier
Published on 23. June 2017
Book
Hardback
174 pages
978-1-78548-111-6 (ISBN)
Description
This volume of the Biostatistics and Health Sciences Set focuses on statistics applied to clinical research.
The use of SAS for data management and statistical modeling is illustrated using various examples. Many aspects of data processing and statistical analysis of cross-sectional and experimental medical data are covered, including regression models commonly found in medical statistics.
This practical book is primarily intended for health researchers with a basic knowledge of statistical methodology. Assuming basic concepts, the authors focus on the practice of biostatistical methods essential to clinical research, epidemiology and analysis of biomedical data (including comparison of two groups, analysis of categorical data, ANOVA, linear and logistic regression, and survival analysis). The use of examples from clinical trials and epidemiological studies provide the basis for a series of practical exercises, which provide instruction and familiarize the reader with essential SAS commands.
The use of SAS for data management and statistical modeling is illustrated using various examples. Many aspects of data processing and statistical analysis of cross-sectional and experimental medical data are covered, including regression models commonly found in medical statistics.
This practical book is primarily intended for health researchers with a basic knowledge of statistical methodology. Assuming basic concepts, the authors focus on the practice of biostatistical methods essential to clinical research, epidemiology and analysis of biomedical data (including comparison of two groups, analysis of categorical data, ANOVA, linear and logistic regression, and survival analysis). The use of examples from clinical trials and epidemiological studies provide the basis for a series of practical exercises, which provide instruction and familiarize the reader with essential SAS commands.
More details
Language
English
Place of publication
United Kingdom
Target group
Professional and scholarly
Statistical/medical students, as well as statisticians who would like to learn SAS software
Product notice
sewn/stitched
Cloth over boards
Dimensions
Height: 231 mm
Width: 155 mm
Thickness: 15 mm
Weight
408 gr
ISBN-13
978-1-78548-111-6 (9781785481116)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

Christophe Lalanne | Mounir Mesbah
Biostatistics and Computer-based Analysis of Health Data Using SAS
E-Book
06/2017
Elsevier
€119.00
Available for download
Persons
Christophe Lalanne is a Research Engineer at the Paris-Diderot University, France. His research involves the modeling of data from clinical research Mounir Mesbah is Head of Biostatistics in the Statistics Institute of the Pierre and Marie Curie University in Paris, France, where he is also a researcher at the Theoretical and Applied Statistics Laboratory. His research involves theoretical and applied statistics, particularly in the field of health and medicine.
Author
Paris-Diderot University, France
University Pierre et Marie Curie, France
Content
1. Language Elements
2. Simple Descriptive Statistics
3. Measures of Association, Comparison of Means or Proportions
4. Correlation, Linear Regresion
5. Logistic Regression
6. Survival Curves, Cox Regression
2. Simple Descriptive Statistics
3. Measures of Association, Comparison of Means or Proportions
4. Correlation, Linear Regresion
5. Logistic Regression
6. Survival Curves, Cox Regression