Biostatistics and Computer-based Analysis of Health Data usi

Erscheinungsjahr 2016
ISBN: 978-1-78548-088-1
Verlag: Elsevier Science & Technology

Buch, Englisch, 206 Seiten, Format (B × H): 231 mm x 158 mm, Gewicht: 482 g

Biostatistics and Computer-Based Analysis of Health Data Using the R Software addresses the concept that many of the actions performed by statistical software comes back to the handling, manipulation, or even transformation of digital data.

It is therefore of primary importance to understand how statistical data is displayed and how it can be exploited by software such as R. In this book, the authors explore basic and variable commands, sample comparisons, analysis of variance, epidemiological studies, and censored data.

With proposed applications and examples of commands following each chapter, this book allows readers to apply advanced statistical concepts to their own data and software.

Zielgruppe

<p>Statistical/medical students, as well as statisticians who would like to switch from another stat software to R</p>

Autoren/Hrsg.

Christophe, Lalanne

Mesbah, Mounir

Fachgebiete

• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizinische Mathematik & Informatik
• Mathematik | Informatik EDV | Informatik Business Application Mathematische & Statistische Software
• Naturwissenschaften Biowissenschaften Angewandte Biologie Biomathematik
• Mathematik | Informatik Mathematik Stochastik Mathematische Statistik

Inhaltsverzeichnis

Chapter 1. Language ElementsChapter 2. Descriptive statistics and estimationChapter 3. Measures and tests of association between two variablesChapter 4. Variance Analysis of devariance and Experiments DesignChapter 5. Correlation and linear regressionChapter 6. Measures of association in epidemiology and logistical regressionChapter 7. Analysis of Survival Data

Über Autor(innen)

Mesbah, Mounir
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.

Christophe, Lalanne
Christophe Lalanne is a Research Engineer at the Paris-Diderot University, France. His research involves the modeling of data from clinical research