Biomedical statistics & Statistical Learning, 2018, KAIST

Course Tutorials

1. R intro
2. Probability
3. Distribution-I
4. Distribution-II
5. Statistical Inference
6. Testing-I, Parametric
7. Testing-II, Nonparametric
8. Experimental Design
9. Regression
10. Statistical Learning
11. Classification-Ia
11. Classification-Ib
12. Classification-II
13. Clustering

Practices & Some of Advanced Topics

2. Probability, Practice
3. Distribution-I, Preactice
4. Distribution-II, Practice
5. Statistical Inference, Practice
5. Statistical Inference-a, Confidence Interval
5. Statistical Inference-b, Bayesian Inference
6. Testing-Ia, Practice
6. Testing-Ib, Neyman Pearson Lemma
7. Testing-IIa, Practice
7. Testing-IIb, Survival Analysis
8. Experimental Design, Practice
9. Regression, Advanced topic in regression
10. Statistical Learning, Advanced topic in Statical Learning
11. Classification-I, Resampling
13. Clustering, more examples