Discover how propensity score analysis (傾向スコア分析) enhances observational studies in Japan. Learn practical applications and methodologies for more robust research outcomes.
Sensitivity Analysis in Observational Studies: Quantifying Unmeasured Confounding
Discover how sensitivity analysis and E-value quantify unmeasured confounding in observational studies, enhancing the robustness of your research findings.
Advanced Propensity Score Methods: Beyond Matching in Observational Studies
Explore advanced propensity score techniques beyond matching, including inverse probability weighting, to enhance causal inference in observational studies.
Correlation vs. Causation: Avoiding Common Statistical Pitfalls in Business Analysis
Discover how to distinguish correlation from causation in business analysis. Learn to avoid common statistical pitfalls and make data-driven decisions.
Propensity Score Matching: Practical Tutorials for Observational Studies
Discover practical tutorials on propensity score matching to control for confounding variables and improve causal inference in observational studies using matching algorithms.