Introduction to Statistical Data Analysis for the Life Sciences

✍ Scribed by Sørensen, Helle; Ekstrøm, Claus Thorn

• Publisher: CRC Press
• Year: 2011
• Tongue: English
• Leaves: 422
• Edition: 1
• Category: Library

✦ Synopsis

Any practical introduction to statistics in the life sciences requires a focus on applications and computational statistics combined with a reasonable level of mathematical rigor. It must offer the right combination of data examples, statistical theory, and computing required for analysis today. And it should involve R software, the lingua franca of statistical computing.

Abstract: Any practical introduction to statistics in the life sciences requires a focus on applications and computational statistics combined with a reasonable level of mathematical rigor. It must offer the right combination of data examples, statistical theory, and computing required for analysis today. And it should involve R software, the lingua franca of statistical computing

✦ Table of Contents

Content: Description of samples and populations --
Linear regression --
Comparison of groups --
The normal distribution --
Statistical models, estimation, and confidence intervals --
Hypothesis tests --
Model validation and prediction --
Linear normal models --
Probabilities --
The binomial distribution --
Analysis of count data --
Logistic regression --
Case exercises.

✦ Subjects

Mathematical statistics -- Textbooks. Life sciences -- Statistical methods -- Textbooks. Données statistiques. Analyse statistique. Mathématiques. Méthodes statistiques. Life sciences -- Statistical methods. Mathematical statistics.