Biostatistics is the application of statistical reasoning to the life sciences, and it's the key to unlocking the data gathered by researchers and the evidence presented in the scientific public health literature. In this course, you'll extend simple regression to the prediction of a single outcome of interest on the basis of multiple variables. Along the way, you'll be introduced to a variety of methods, and you'll practice interpreting data and performing calculations on real data from published studies. Topics include multiple logistic regression, the Spline approach, confidence intervals, p-values, multiple Cox regression, adjustment, and effect modification.
The recommended math prerequisite is up through and including basic algebra including logarithms and the equation of a line.
- 5 stars79.46%
- 4 stars15.20%
- 3 stars4.94%
- 1 star0.38%
來自MULTIPLE REGRESSION ANALYSIS IN PUBLIC HEALTH 的熱門評論
one of the finest courses on biostatistics, in order to get refreshed with the core concepts and applications!
Very helpful in your explanations verbally and visually. It really helped me understand how to read and understand the cox regression model.
Excellent Course! Dr. McGready opened the doors of a whole new world to me with this specialization. Proud to have concluded it.
Professor McGready is a passionate instructor who makes BioStats interesting and concrete through his real-world experiences and exercises. Another excellent class from Dr. John.