Statistics@MIT
Biostatistics 247 -- Design Of Scientific Investigations
Course Description: Sample size considerations, basic principles of experimental design (randomization, replication, and balance), block designs, factorial experiments, response surface modeling, optimal design, clinical trials, adaptive, and sequential designs.

This class is at the Graduate level
Instructor: Michael David Hughes (Public Health)
Prerequisites: Biostatistics 235.

Back to Classes

Suggestions,feedback? Please send your thoughts to statistics@mit.edu