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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
Statistical Inference
Estimation Theory
Point Estimation
Estimators and Estimates
Properties of Estimators
Unbiasedness
Consistency
Efficiency
Sufficiency
Interval Estimation
Confidence Intervals
Concept and Interpretation
Construction Methods
Confidence Level Selection
Confidence Intervals for Means
Known vs Unknown Variance
Large vs Small Samples
Confidence Intervals for Proportions
Normal Approximation
Exact Methods
Continuity Correction
Factors Affecting Interval Width
Sample Size
Confidence Level
Population Variability
Hypothesis Testing Framework
Null and Alternative Hypotheses
Formulation and Types
One-Sided vs Two-Sided Tests
Test Statistics
Definition and Properties
Sampling Distributions
Critical Values and Rejection Regions
Determination Methods
Relationship to Significance Level
P-Values
Definition and Calculation
Interpretation Guidelines
Common Misinterpretations
Type I and Type II Errors
Definitions and Consequences
Error Rate Control
Relationship to Power
Statistical Power
Definition and Calculation
Factors Affecting Power
Power Analysis Applications
Tests for Single Populations
Tests for Population Mean
One-Sample Z-Test
Assumptions and Applications
Test Statistic and P-Value
One-Sample t-Test
Assumptions and Applications
Degrees of Freedom
Comparison to Z-Test
Tests for Population Proportion
One-Sample Proportion Test
Normal Approximation
Exact Binomial Test
Continuity Correction
Tests for Two Populations
Comparing Two Means
Independent Samples t-Test
Equal Variances Assumption
Unequal Variances (Welch's Test)
Effect Size Measures
Paired Samples t-Test
When to Use
Assumptions and Interpretation
Advantages over Independent Samples
Comparing Two Proportions
Two-Sample Proportion Test
Pooled vs Unpooled Estimates
Chi-Square Test
Fisher's Exact Test
McNemar's Test
Paired Proportions
Applications in Before-After Studies
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9. Bias and Confounding
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11. Analysis of Variance (ANOVA)