Statistical Methods in Health Information Management I

At the end of the course, the students should be able to: 1. explain the role of statistics in human biology medicine and health information management; 2. state and mathematically express analysis of variance: one-way, classification, test for equality of several variances, multiple range test; two-way classification; 3. describe how to test for independence, runs and sign test; and 4. explain and distinguish between different test sample methods.

Role of statistics in Human Biology Medicine and Health Information Management. Analysis of variance: one-way, classification, test for equality of several variance, multiple range test; two- way, classification (single observation per cell) two – way classification (several observation in one cell). Test for independence, runs and sign test, Wilcoxon two-sample test, Wilcoxon test for paired observations, goodness of fit test, Kolmogrov-sminov one/two sample test, fisher exact probability test. The Friedman test, the Kruskal-walls test, the Mann-Witney test.