Useful Links
Statistics
Statistics with R
1. Introduction to R and Statistical Computing
2. R Fundamentals and Basic Operations
3. R Package System
4. R Data Structures
5. Data Import and Export
6. Data Cleaning and Preprocessing
7. Data Manipulation with dplyr
8. Descriptive Statistics
9. Data Visualization Fundamentals
10. Advanced Data Visualization with ggplot2
11. Probability Theory
12. Probability Distributions
13. Sampling and Sampling Distributions
14. Statistical Inference Foundations
15. Hypothesis Testing Framework
16. One-Sample Tests
17. Two-Sample Tests
18. Chi-squared Tests
19. Analysis of Variance (ANOVA)
20. Correlation Analysis
21. Simple Linear Regression
22. Regression Diagnostics
23. Multiple Linear Regression
24. Generalized Linear Models
25. Nonparametric Statistics
26. Introduction to Time Series Analysis
27. Introduction to Machine Learning
28. Reproducible Research
29. Statistical Computing Best Practices
Generalized Linear Models
GLM Framework
Exponential Family
Link Functions
Linear Predictor
Deviance
Logistic Regression
Binary Outcomes
Logit Link Function
Odds and Odds Ratios
Model Fitting
Interpretation
Prediction
Model Assessment
Poisson Regression
Count Data
Log Link Function
Rate Models
Overdispersion
Model Fitting
Interpretation
Other GLM Families
Gamma Regression
Inverse Gaussian
Quasi-likelihood Models
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23. Multiple Linear Regression
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25. Nonparametric Statistics