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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
Study Design Types
Observational Studies
Descriptive Studies
Case Reports
Definition and Purpose
Strengths and Limitations
Case Series
Definition and Purpose
Strengths and Limitations
Cross-Sectional Studies
Definition and Design
Prevalence Estimation
Strengths and Limitations
Analytical Cross-Sectional Studies
Analytical Studies
Cohort Studies
Prospective Cohort Design
Definition and Implementation
Exposure Assessment
Outcome Measurement
Follow-up Procedures
Strengths and Limitations
Retrospective Cohort Design
Definition and Implementation
Data Sources
Strengths and Limitations
Cohort Selection
Exposed vs Unexposed Groups
Comparability Issues
Case-Control Studies
Definition and Design
Case Definition and Selection
Control Selection
Population Controls
Hospital Controls
Matched Controls
Matching Strategies
Individual Matching
Frequency Matching
Overmatching Concerns
Exposure Assessment
Strengths and Limitations
Ecological Studies
Definition and Design
Group-Level vs Individual-Level Data
Ecological Fallacy
Applications and Limitations
Experimental Studies
Randomized Controlled Trials
Basic Principles
Randomization
Control Groups
Blinding
Types of Randomization
Simple Randomization
Block Randomization
Stratified Randomization
Adaptive Randomization
Blinding Strategies
Single-Blind Design
Double-Blind Design
Triple-Blind Design
Challenges in Blinding
Control Group Types
Placebo Control
Active Control
No-Treatment Control
Historical Control
Trial Designs
Parallel Group Design
Crossover Design
Factorial Design
Cluster Randomized Trials
Allocation Concealment
Methods and Importance
Preventing Selection Bias
Quasi-Experimental Designs
Non-Randomized Controlled Trials
Definition and Applications
Limitations and Biases
Before-After Studies
Design and Implementation
Threats to Validity
Interrupted Time Series
Design and Analysis
Applications in Policy Evaluation
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7. Sampling Methods and Study Design
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9. Bias and Confounding