Variable and test R package results ChatGPT-4 October Segmented Analysis ChatGPT-4 March Holistic Analysis
Crosstabulations 2x2 Mortality vs. Female % (Mortality vs. Male % 3.5 (4.1) 3.5 (4.14) 3.5* (4.14*)
Fisher's Exact Test P-value gender vs. mortality 0.4958 0.4958 0.496
Fisher's Exact Test Odds ratio gender vs. mortality (lower 95% CI – higher 95% CI) 1.191 (0.742 – 1.936) 1.191 (0.758 – 1.872) 1.19 (0.76– 1.87)
Crosstabulations 3x2 High income group vs. mortality % 3.3 3.33 3.33*
Crosstabulations 3x2 Lower-middle income group vs. mortality % 8.4 8.42 8.42*
Crosstabulations 3x2 Upper-middle income group vs. mortality % 5.9 5.88 5.88*
Pearson's Chi-squared test p-value income group vs. mortality 0.008851 0.0089 0.00885
T-Test mean Age vs mortality (standard deviation) 64 (12) 64.32 (12.01) 64.32 (12.01)
T-Test mean Age vs alive (standard deviation) 61 (14) 61.07 (14.37) 61.07 (14.37)
T-Test p-value Age vs mortality 0.0226 0.0655 0.0226
Levene’s Test p-value Age vs mortality 0.03979 0.0655 0.0343
Mann-Whitney U Test Hospital stay vs alive median (25th – 75th Percentile) 8 (5 – 11) 8 (5 – 11) 8 (5 – 11)
Mann-Whitney U Test Hospital stay vs mortality median (25th – 75th Percentile) 10 (7 – 19) 10 (7 – 19) 10 (7 – 19)
Mann-Whitney U Test Hospital stay vs mortality p value 0.0000607213 0.00000000000646 0.0000607213†
Wilcoxon Rank Sum Test P-value 0.00006075 0.0000639 0.0000607
Kruskal Wallis Test median Hospital stay vs high income (25th – 75th Percentile) 65 (55 – 72) 8 8
Kruskal Wallis Test median Hospital stay vs lower income (25th – 75th Percentile) (6 – 10) (6 – 10) (6 – 10)
Kruskal Wallis Test median Hospital stay vs upper income (25th – 75th Percentile) 9 (6 – 13) 8 (6 – 13) 9 (6 – 13)
Kruskal Wallis Test p-value Hospital stay vs income group 0.0279 0.0279 0.0279