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Biology
Other Biological Fields
Biostatistics
1. Introduction to Biostatistics
2. Types of Data and Variables
3. Descriptive Statistics
4. Data Visualization
5. Probability Fundamentals
6. Probability Distributions
7. Sampling Methods and Study Design
8. Study Design Types
9. Bias and Confounding
10. Statistical Inference
11. Analysis of Variance (ANOVA)
12. Correlation and Simple Regression
13. Multiple Regression Analysis
14. Categorical Data Analysis
15. Survival Analysis
16. Advanced Statistical Methods
17. Clinical Trial Methodology
18. Epidemiological Measures
19. Data Management and Quality
20. Statistical Software and Computing
21. Results Interpretation and Communication
22. Ethical Considerations in Biostatistics
Categorical Data Analysis
Chi-Square Tests
Goodness-of-Fit Test
Testing Distributional Assumptions
Expected vs Observed Frequencies
Degrees of Freedom
Test of Independence
Contingency Tables
Expected Cell Frequencies
Interpretation of Results
Test of Homogeneity
Comparing Proportions Across Groups
Distinction from Independence
Assumptions and Limitations
Minimum Expected Frequencies
Large Sample Requirements
Measures of Association
For 2×2 Tables
Odds Ratio
Calculation and Interpretation
Confidence Intervals
Relative Risk
Calculation and Interpretation
Comparison to Odds Ratio
Risk Difference
Calculation and Interpretation
Number Needed to Treat
For Larger Tables
Cramér's V
Contingency Coefficient
Lambda
Exact Tests
Fisher's Exact Test
When to Use
Calculation Principles
One-Sided vs Two-Sided
McNemar's Test
Paired Binary Data
Applications in Matched Studies
Logistic Regression
Binary Logistic Regression
Logit Transformation
Maximum Likelihood Estimation
Odds Ratio Interpretation
Model Assessment
Likelihood Ratio Test
Wald Test
Goodness-of-Fit Tests
Hosmer-Lemeshow Test
Deviance and Pearson Chi-Square
Model Diagnostics
Residual Analysis
Influence Diagnostics
ROC Curve Analysis
Multiple Logistic Regression
Multiple Predictors
Variable Selection
Interaction Terms
Multinomial and Ordinal Regression
Multinomial Logistic Regression
Multiple Categories
Reference Category Selection
Interpretation of Coefficients
Ordinal Logistic Regression
Proportional Odds Model
Assumptions and Testing
Interpretation Guidelines
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13. Multiple Regression Analysis
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15. Survival Analysis