Introduction to statistics for biomedical engineers

There are many books written about statistics, some brief, some detailed, some humorous, some colorful, and some quite dry. Each of these texts is designed for a specific audience. Too often, texts about statistics have been rather theoretical and intimidating for those not practicing statistical an...

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Bibliographic Details
Main Author: Ropella, Kristina M. 1963-
Format: Electronic
Language:English
Published: San Rafael, Calif. (1537 Fourth St, San Rafael, CA 94901 USA) : Morgan & Claypool Publishers, c2007.
Series:Synthesis lectures on biomedical engineering, #14.
Subjects:
Online Access:Abstract with links to resource
Table of Contents:
  • Collecting data and experimental design
  • Data summary and descriptive statistics
  • Why do we collect data?
  • Why do we need statistics?
  • What questions do we hope to address with our statistical analysis?
  • How do we graphically summarize data?
  • General approach to statistical analysis
  • Descriptive statistics
  • Assuming a probability model from the sample data
  • The standard normal distribution
  • The normal distribution and sample mean
  • Confidence interval for the sample mean
  • The t distribution
  • Confidence interval using t distribution
  • Statistical inference
  • Comparison of population means
  • Comparison of two variances
  • Comparison of three or more population means
  • One-factor experiments
  • Linear regression and correlation analysis
  • Power analysis and sample size
  • Power of a test
  • Power tests to determine sample size
  • Just the beginning.