BIOST515 - Biostatistics II
Course: BIOST515 (Biostatistics II) in BIOST department at University of Washington.
Credit Hours: 4 • Academic Level: year 5 undergraduate course
Course Requirements: Requires 1 prerequisite course
Prerequisite Chain Depth: 1 level of foundational courses required
Future Opportunities: Unlocks 20 advanced courses for further study
Part of the BIOST curriculum at University of Washington, helping students progress through degree requirements.
Prerequisites for BIOST515
Courses unlocked by BIOST515
- BIOST546 - Machine Learning for Biomedical and Public Health Big Data
- HEOR552 - Application of Machine Learning in Health Economics and Outcomes Research
- STAT570 - Advanced Regression Methods for Independent Data
- STAT527 - Nonparametric Regression and Classification
- STAT551 - Statistical Genetics II: Quantitative Traits
- STAT576 - Statistical Methods for Survival Data
- BIOST505 - Writing, Presentation, and Collaboration Skills for Biostatistics
- BIOST527 - Nonparametric Regression and Classification
- BIOST540 - Longitudinal and Multilevel Data Analysis
- BIOST537 - Survival Data Analysis in Epidemiology
- BIOST551 - Statistical Genetics II: Quantitative Traits
- BIOST565 - Statistical Evaluation of Biomarkers
- BIOST576 - Statistical Methods for Survival Data
- BIOST596 - Biostatistics Capstone I - Project Planning
- STAT533 - Theory of Linear Models
- BIOST533 - Theory of Linear Models
- BIOST536 - Categorical Data Analysis in Epidemiology
- BIOST570 - Advanced Regression Methods for Independent Data
- EPI536 - Categorical Data Analysis in Epidemiology
- EPI537 - Survival Data Analysis in Epidemiology
Academic Planning at University of Washington
Students planning BIOST515 at University of Washington should complete 1 prerequisite before enrollment.
Future Pathways: Completing BIOST515 enables enrollment in 20 advanced courses for further study
This year 5 course at University of Washington integrates into structured degree pathways for BIOST programs, supporting timely graduation and academic progression.