This volume of the Biostatistics and Health Sciences Set focuses on statistics applied to clinical research, epidemiology, economics, sociology of health and medical biology.
Medical statistics are a valuable scientific resource for practitioners who want to calculate the normal value of a biological size, assess the reliability of a review or estimate the risk of complication of a medical condition. The statistical programming software R can compile and effectively analyze these medical data for various practical applications.
This book provides a progressive introduction to R whereby readers will be able to perform their own comprehensive analyses. Originally designed for practical instruction, the authors offer a coherent and unified approach to biostatistics techniques encountered in clinical research studies and epidemiology.
1. Elements of the Language.
2. Descriptive Statistics and Estimation.
3. Measures and Tests of Association Between Two Variables.
4. Analysis of Variance and Experimental Design.
5. Correlation and Linear Regression.
6. Measures of Association in Epidemiology and Logistic Regression.
7. Survival Data Analysis.
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-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.
Table of Contents
PDF File 96 Kb