
Biostatistics and Computer-based Analysis of Health Data using Stata
ISTE Press - Elsevier
Published on 25. August 2016
Book
Hardback
134 pages
978-1-78548-142-0 (ISBN)
Description
This volume of the Biostatistics and Health Sciences Set focuses on statistics applied to clinical research. The use of Stata 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 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 epideomological studies provide the basis for a series of practical exercises, which provide instruction and familiarize the reader with essential Stata packages and commands.
More details
Language
English
Place of publication
United Kingdom
Target group
Professional and scholarly
Graduate students, biostatisticians, health researchers; Researchers and statisticians interested in applied statistics for clinical trials, biomedical and epidemiological research
Product notice
Laminated cover
Dimensions
Height: 229 mm
Width: 152 mm
Thickness: 11 mm
Weight
371 gr
ISBN-13
978-1-78548-142-0 (9781785481420)
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Schweitzer Classification
Other editions
Additional editions

Christophe Lalanne | Mounir Mesbah
Biostatistics and Computer-based Analysis of Health Data using Stata
E-Book
09/2016
Elsevier
€92.95
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. Measures of Association, Comparisons of Means and Proportions.
3. Linear Regression.
4. Logistic Regression and Epidemiological Analyses.
5. Survival Data Analysis.
2. Measures of Association, Comparisons of Means and Proportions.
3. Linear Regression.
4. Logistic Regression and Epidemiological Analyses.
5. Survival Data Analysis.