HLTH 8271: Applied Biostatistics: Multivariate Methods
University of North Carolina, Charlotte
An intermediate course that covers biostatistical principles and methods for analyzing discrete and continuous multivariate data: correlations, discriminant analysis, factor analysis, multivariate analysis of variance, log-linear models for contingency tables, multilevel modeling, comorbidity and competing risks, and regression methods for multivariate dependent data, such as time series and spatial data.� Statistical software is used for data analysis.��
Average GPA: 3.87
Grade distribution records: 54 students across 9 terms.
Grade distribution
| Grade | Students | Percent |
|---|---|---|
| A | 45 | 83.3% |
| B | 7 | 13.0% |
| W | 1 | 1.9% |
Based on 54 student grade records across 9 terms and 3 professors.
Instructors
- Rajib Paul 40 students, Average GPA 3.98
- Kristin Lenoir 7 students, Average GPA 4.00
- Weihua Zhou 7 students, Average GPA 3.14