BMI 5352 Statistical Methods in Biomedical Informatics

(web-based and classroom instruction)
3 semester credit hours/meets part of research informatics competencies

This course provides the student the opportunity to develop essential competencies in the measurement, design, analysis, interpretation and critical evaluation of health, information, and behavioral science research and evaluation studies. Students will have the opportunity to learn and apply the most important and most frequently used statistical measures and methods, as well as critically evaluate their appropriate use. Topics include the study of frequency distributions, measures of central tendency, variance, hypothesis testing, correlation and both parametric and non-parametric inferential methods including t-tests, analysis of variance, chi-square, Kruskal-Wallis, Mann-Whitney, and Wilcoxon tests of significance, as well as tests of measures of association.

Upon completing this course, students will:

  • Explain the use of data collection and statistics as tools to reach reasonable conclusions.
  • Recognize, examine, and interpret the basic principles of describing and presenting data.
  • Examine, analyze, and compare various sampling distributions for both discrete and continuous random variables.
  • Solve linear regression and correlation problems.
  • Use, read and interpret computer-assisted analysis involving the most frequently used descriptive and inferential statistical methods.
  • Use descriptive statistics to identify data problems; perform and report data screening and cleaning procedure.