Applications of regression methods in biostatistics; correlated data analysis; survival analysis; missing data techniques; use of the R programming language. Prerequisites: STAT 212; STAT 408 Credits 3. 3 Lecture Hours.
Applications of regression methods in biostatistics; correlated data analysis; survival analysis; missing data techniques; use of the R programming language. Prerequisites: STAT 212; STAT 408 Credits 3. 3 Lecture Hours.
