Biostatistics and Computer-based Analysis of Health Data using Stata

Focusing on the practice of biostatistical methods that are essential to clinical research, epidemiology, and analysis of biomedical data, this practical guide uses the statistics software Stata to survey all aspects of data processing and statistical analysis of health data, including full coverage of regression models commonly found in medical statistics.

Christophe Lalanne (Author), Mounir Mesbah (Author)

9781785481420, Elsevier Science

Hardback, published 25 August 2016

134 pages
22.9 x 15.1 x 1.7 cm, 0.27 kg

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.

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.

Subject Areas: Computer programming / software development [UM], Enterprise software [UFL], Probability & statistics [PBT], Medical bioinformatics [MBF]