narrative summary
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"id": "1f786261",
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"metadata": {},
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"source": [
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"## narrative\n",
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"## Narrative Summary of Reporting Delay Analysis\n",
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"\n",
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"In the analytic sample (N = 11,376; after IQR outlier trimming), predicted reporting delays declined after 2020 across spill types and rurality. Using a Poisson GLM with a full C(spill_type) × C(Period) × C(rurality) interaction and parametric bootstrap (B = 2,000) for uncertainty, the estimated reduction in predicted delay (Before 2020 − 2020 and After) ranged from about 0.22–0.46 days (≈5–11 hours). For example, Historical spills in urban areas show a median reduction of 0.460 days (95% bootstrap CI 0.404–0.517, p < 0.001), and Recent spills in urban areas show a median reduction of 0.299 days (95% CI 0.222–0.375, p < 0.001).\n",
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"### Analytic Sample and Model\n",
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"\n",
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"Comparing spill types, Recent spills tend to have longer predicted delays than Historical spills, with the largest and most robust gap in urban settings. After 2020, the Recent − Historical difference in Urban areas is 0.291 days (95% CI 0.244–0.341, p < 0.001), equivalent to roughly 7.0 hours. Differences by spill type are smaller and often not statistically distinguishable in some Suburban and Rural cells before 2020 (e.g., Before 2020 Suburban: 0.020 days, 95% CI −0.222–0.244, p ≈ 0.85).\n",
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"- **Sample size:** N = 11,376 (after IQR outlier trimming)\n",
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"- **Model:** Poisson GLM with full interaction: `C(spill_type) × C(Period) × C(rurality)`\n",
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"- **Uncertainty:** Parametric bootstrap (B = 2,000)\n",
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"\n",
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"Limitations: the primary inference is model‑dependent (Poisson fit showed underdispersion, Pearson χ2/df ≈ 0.69), so results rely on the bootstrap procedures used to quantify uncertainty; a nonparametric case bootstrap (B = 1,000) produced broadly similar group CIs. Small sample sizes in some SpillType×Period×rurality cells limit precision for those specific comparisons, and reported p‑values are unadjusted for multiple contrasts; therefore emphasize effect sizes and bootstrap CIs in policy interpretation.\n",
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"### Main Findings\n",
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"\n",
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"Figure caption Figure X. Predicted reporting delays (days) for each Spill Type × Period × rurality cell with parametric bootstrap (B = 2,000) 95% confidence intervals. Points show bootstrap medians of the model‑predicted group means; vertical bars are 2.5th–97.5th percentiles from the bootstrap distribution."
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"- **Reporting delays declined after 2020** across spill types and rurality.\n",
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"- **Estimated reduction (Before 2020 − 2020 and After):** \n",
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" - Range: **0.22–0.46 days** (≈5–11 hours)\n",
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" - **Historical spills, Urban:** \n",
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" - Median reduction: **0.460 days** \n",
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" - 95% bootstrap CI: **0.404–0.517** \n",
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" - p < 0.001\n",
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" - **Recent spills, Urban:** \n",
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" - Median reduction: **0.299 days** \n",
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" - 95% CI: **0.222–0.375** \n",
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" - p < 0.001\n",
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"\n",
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"- **Spill Type Comparison:** \n",
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" - Recent spills generally have longer predicted delays than Historical spills.\n",
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" - **Largest and most robust gap:** Urban settings after 2020\n",
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" - **Recent − Historical, Urban, 2020 and After:** \n",
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" - Difference: **0.291 days** (≈7.0 hours) \n",
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" - 95% CI: **0.244–0.341** \n",
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" - p < 0.001\n",
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" - **Suburban and Rural cells before 2020:** \n",
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" - Differences smaller and often not statistically significant \n",
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" - Example: Suburban, Before 2020: **0.020 days** (95% CI −0.222–0.244, p ≈ 0.85)\n",
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"\n",
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"### Limitations\n",
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"\n",
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"- **Model dependence:** Poisson fit showed underdispersion (Pearson χ²/df ≈ 0.69)\n",
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"- **Bootstrap reliance:** Results rely on bootstrap procedures for uncertainty quantification\n",
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"- **Sensitivity:** Nonparametric case bootstrap (B = 1,000) produced similar group CIs\n",
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"- **Small sample sizes:** Some SpillType × Period × rurality cells have limited precision\n",
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"- **Multiple comparisons:** p-values unadjusted; emphasize effect sizes and bootstrap CIs for policy\n",
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"\n",
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"---\n",
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"\n",
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"### Figure Caption\n",
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"\n",
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"**Figure X.** Predicted reporting delays (days) for each Spill Type × Period × rurality cell with parametric bootstrap (B = 2,000) 95% confidence intervals. \n",
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"Points show bootstrap medians of the model-predicted group means; vertical bars are 2.5th–97.5th percentiles from the bootstrap distribution."
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]
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},
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{
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"id": "eeed5308",
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"outputs": [],
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"source": []
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"execution_count": 49,
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