Applied Statistics for Health Informatics

1.5 credits · Graduate

Provides practical experience (using the R statistical package) interpreting output and presenting findings. Topics include understanding statistics, data management and data cleaning, t-tests, chi-square analyses, ANOVA, MANOVA, linear and logistic regression. The skills learned are those commonly used in quantitative research for health informatics and digital health.