Biostatistics

  1. Results Interpretation and Communication
    1. Statistical vs Clinical Significance
      1. P-Value Interpretation
        1. Common Misinterpretations
          1. Statistical Significance Limitations
          2. Effect Size Importance
            1. Magnitude of Effects
              1. Clinical Relevance
              2. Confidence Interval Interpretation
                1. Precision of Estimates
                  1. Range of Plausible Values
                2. Presenting Statistical Results
                  1. Tables and Figures
                    1. Table Design Principles
                      1. Figure Selection and Design
                        1. Clarity and Completeness
                        2. Text Presentation
                          1. Statistical Notation
                            1. Precision and Accuracy
                              1. Avoiding Overinterpretation
                              2. Uncertainty Communication
                                1. Confidence Intervals
                                  1. P-Value Reporting
                                    1. Limitations Discussion
                                  2. Reporting Guidelines
                                    1. CONSORT Statement
                                      1. Randomized Trial Reporting
                                        1. Flow Diagram Requirements
                                          1. Checklist Items
                                          2. STROBE Statement
                                            1. Observational Study Reporting
                                              1. Study Design Specification
                                                1. Results Presentation
                                                2. PRISMA Statement
                                                  1. Systematic Review Reporting
                                                    1. Search Strategy Documentation
                                                      1. Study Selection Process
                                                    2. Common Interpretation Errors
                                                      1. Correlation vs Causation
                                                        1. Temporal Relationships
                                                          1. Confounding Variables
                                                            1. Biological Plausibility
                                                            2. Multiple Testing Issues
                                                              1. Inflated Type I Error
                                                                1. Correction Methods
                                                                  1. Selective Reporting
                                                                  2. Subgroup Analysis Pitfalls
                                                                    1. Post-Hoc Analyses
                                                                      1. Multiple Comparisons
                                                                        1. Interaction Testing

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                                                                    20. Statistical Software and Computing

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                                                                    22. Ethical Considerations in Biostatistics