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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
Analysis of Variance (ANOVA)
One-Way ANOVA
Conceptual Framework
Between-Group vs Within-Group Variation
F-Ratio and Interpretation
Assumptions
Normality of Residuals
Homogeneity of Variance
Independence of Observations
ANOVA Table
Sources of Variation
Degrees of Freedom
Mean Squares and F-Statistic
Post-Hoc Comparisons
Multiple Comparison Problem
Tukey's HSD Test
Bonferroni Correction
Scheffe's Method
Dunnett's Test
Effect Size Measures
Eta-Squared
Omega-Squared
Two-Way ANOVA
Factorial Design Concepts
Main Effects
Interaction Effects
Model Components
Factor A Main Effect
Factor B Main Effect
A × B Interaction
Interpretation Strategies
Significant Interaction
Non-Significant Interaction
Simple Effects Analysis
Repeated Measures ANOVA
Within-Subjects Design
Advantages and Applications
Sphericity Assumption
Mixed-Effects ANOVA
Between and Within Factors
Interpretation Complexities
Non-Parametric Alternatives
Kruskal-Wallis Test
When to Use
Interpretation
Friedman Test
Repeated Measures Alternative
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12. Correlation and Simple Regression