Advanced Biostatistics for Biomedical Research and Health Care

Catalog description

Covers the use of computation as a tool for biostatistical data analysis and methods development, especially for research on multivariable regression analysis of biostatistics and health science. Major topics include understanding of hypothesis testing; regression model development; multivariable regression analyses on continuous, binary and censored outcomes; how to handle statistics issues related to regression modeling such as collinearity, overfitting and missing data. Students use the SAS and R statistical programming language to display and analyze data, and to evaluate statistical procedures and algorithms.