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Two research groups independently study the same genetic variant's association with diabetes. Study A (n=5,000) reports OR=1.25, 95% CI: 1.05-1.48, p=0.01. Study B (n=50,000) reports OR=1.08, 95% CI: 1.02-1.14, p=0.006. Both studies are methodologically sound. Synthesize these findings to determine the most likely true effect and evaluate implications for clinical and research interpretation.
Definition and interpretation of p-values
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Common misinterpretations of p-values
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Confidence interval construction
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Relationship between CIs and hypothesis testing
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Multiple comparison problem
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Correction methods (Bonferroni, FDR)
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One-sided vs two-sided tests
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Clinical vs statistical significance
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Effect sizes and confidence intervals
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Bayesian alternatives to p-values
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Reporting standards in medical journals
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P-value controversy and alternatives
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Confidence intervals for non-parametric tests
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