narrative summary

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"## narrative\n",
"## Narrative Summary of Reporting Delay Analysis\n",
"\n",
"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 0.220.46 days (≈511 hours). For example, Historical spills in urban areas show a median reduction of 0.460 days (95% bootstrap CI 0.4040.517, p < 0.001), and Recent spills in urban areas show a median reduction of 0.299 days (95% CI 0.2220.375, p < 0.001).\n",
"### Analytic Sample and Model\n",
"\n",
"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 0.2440.341, 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 0.2220.244, p ≈ 0.85).\n",
"- **Sample size:** N = 11,376 (after IQR outlier trimming)\n",
"- **Model:** Poisson GLM with full interaction: `C(spill_type) × C(Period) × C(rurality)`\n",
"- **Uncertainty:** Parametric bootstrap (B = 2,000)\n",
"\n",
"Limitations: the primary inference is modeldependent (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 pvalues are unadjusted for multiple contrasts; therefore emphasize effect sizes and bootstrap CIs in policy interpretation.\n",
"### Main Findings\n",
"\n",
"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 modelpredicted group means; vertical bars are 2.5th97.5th percentiles from the bootstrap distribution."
"- **Reporting delays declined after 2020** across spill types and rurality.\n",
"- **Estimated reduction (Before 2020 2020 and After):** \n",
" - Range: **0.220.46 days** (≈511 hours)\n",
" - **Historical spills, Urban:** \n",
" - Median reduction: **0.460 days** \n",
" - 95% bootstrap CI: **0.4040.517** \n",
" - p < 0.001\n",
" - **Recent spills, Urban:** \n",
" - Median reduction: **0.299 days** \n",
" - 95% CI: **0.2220.375** \n",
" - p < 0.001\n",
"\n",
"- **Spill Type Comparison:** \n",
" - Recent spills generally have longer predicted delays than Historical spills.\n",
" - **Largest and most robust gap:** Urban settings after 2020\n",
" - **Recent Historical, Urban, 2020 and After:** \n",
" - Difference: **0.291 days** (≈7.0 hours) \n",
" - 95% CI: **0.2440.341** \n",
" - p < 0.001\n",
" - **Suburban and Rural cells before 2020:** \n",
" - Differences smaller and often not statistically significant \n",
" - Example: Suburban, Before 2020: **0.020 days** (95% CI 0.2220.244, p ≈ 0.85)\n",
"\n",
"### Limitations\n",
"\n",
"- **Model dependence:** Poisson fit showed underdispersion (Pearson χ²/df ≈ 0.69)\n",
"- **Bootstrap reliance:** Results rely on bootstrap procedures for uncertainty quantification\n",
"- **Sensitivity:** Nonparametric case bootstrap (B = 1,000) produced similar group CIs\n",
"- **Small sample sizes:** Some SpillType × Period × rurality cells have limited precision\n",
"- **Multiple comparisons:** p-values unadjusted; emphasize effect sizes and bootstrap CIs for policy\n",
"\n",
"---\n",
"\n",
"### Figure Caption\n",
"\n",
"**Figure X.** Predicted reporting delays (days) for each Spill Type × Period × rurality cell with parametric bootstrap (B = 2,000) 95% confidence intervals. \n",
"Points show bootstrap medians of the model-predicted group means; vertical bars are 2.5th97.5th percentiles from the bootstrap distribution."
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