Epidemiological Evidence Mapper & Study Design Evaluator

Interactively evaluate how sample size, confounding bias, and design rigor impact public health claim certainty.

Study Parameters

10,000
1.05
0.02
0.08
0.05
Adjusted Effect (95% CI) 0.89 - 1.24
p-value 0.520
Statistical Power 0.182
EVIDENCE GRADE Low Certainty
Conclusion: Effect estimate is consistent with null hypothesis when controlling for measured confounders.

Forest Plot: Unadjusted vs. Confounder-Adjusted Effect Estimate

Statistical Power Curve (N vs. Power)

Comparative Study Design Matrix

Design Type Vulnerability to Confounding Causal Inferential Strength Typical GRADE Baseline
Randomized Controlled Trial (RCT) Low (Randomization balances unknown confounders) High High Certainty
Cohort Study Moderate-High (Requires measurement & adjustment) Moderate Low Certainty
Case-Control Study High (Recall bias + unmeasured confounding) Low-Moderate Very Low Certainty
Epidemiological Evidence Mapper Summary & Export
Evidence Grade: Low Certainty (High Confounding Risk)
p-value: 0.52000000000000002
Power: 0.182
CI Low: 0.89
CI High: 1.24
Conclusion: Effect estimate is consistent with null hypothesis when controlling for measured confounders.
Click "Export Full Summary Report" to generate text export.
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