بدائل البحث:
step decrease » sizes decrease (توسيع البحث), teer decrease (توسيع البحث)
gap decrease » a decrease (توسيع البحث), gain decreased (توسيع البحث), mean decrease (توسيع البحث)
we decrease » _ decrease (توسيع البحث), a decrease (توسيع البحث), nn decrease (توسيع البحث)
step decrease » sizes decrease (توسيع البحث), teer decrease (توسيع البحث)
gap decrease » a decrease (توسيع البحث), gain decreased (توسيع البحث), mean decrease (توسيع البحث)
we decrease » _ decrease (توسيع البحث), a decrease (توسيع البحث), nn decrease (توسيع البحث)
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201
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S1 File -
منشور في 2025"…Despite the prevalence and severity of sleep disturbances during opioid withdrawal, there is a gap in our understanding of their interactions. …"
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208
SHAP dependence plots with interaction coloring.
منشور في 2025"…</p><p>Methods</p><p>Using National Health and Nutrition Examination Survey (NHANES) 2005–2010 data, we analyzed glucose disposal and frailty associations. …"
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209
Screening process diagram.
منشور في 2025"…</p><p>Methods</p><p>Using National Health and Nutrition Examination Survey (NHANES) 2005–2010 data, we analyzed glucose disposal and frailty associations. …"
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210
SHAP waterfall plot.
منشور في 2025"…</p><p>Methods</p><p>Using National Health and Nutrition Examination Survey (NHANES) 2005–2010 data, we analyzed glucose disposal and frailty associations. …"
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211
SHAP decision plot.
منشور في 2025"…</p><p>Methods</p><p>Using National Health and Nutrition Examination Survey (NHANES) 2005–2010 data, we analyzed glucose disposal and frailty associations. …"
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212
LASSO regression visualization plot.
منشور في 2025"…</p><p>Methods</p><p>Using National Health and Nutrition Examination Survey (NHANES) 2005–2010 data, we analyzed glucose disposal and frailty associations. …"
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213
SHAP dependence plots.
منشور في 2025"…</p><p>Methods</p><p>Using National Health and Nutrition Examination Survey (NHANES) 2005–2010 data, we analyzed glucose disposal and frailty associations. …"
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214
Tertile stratified subgroup analysis.
منشور في 2025"…</p><p>Methods</p><p>Using National Health and Nutrition Examination Survey (NHANES) 2005–2010 data, we analyzed glucose disposal and frailty associations. …"
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215
Baseline patient characteristics.
منشور في 2025"…While mean respiratory rate was not affected, midazolam resulted in a significant decrease in both VRR (ß = −0.071, 95% CI: −0.120 to −0.021) and VTV (ß = −0.117, 95% CI: −0.170 to −0.062). …"
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216
Preference for the EIA – conjoint results.
منشور في 2025"…When are individuals more likely to support equal treatment algorithms (ETAs), characterized by higher predictive accuracy, and when do they prefer equal impact algorithms (EIAs) that reduce performance gaps between groups? A randomized conjoint experiment and a follow-up choice experiment revealed that support for the EIAs decreased sharply as their accuracy gap grew, although impact parity was prioritized more when ETAs produced large outcome discrepancies. …"
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217
Marginal means – Pooled across scenarios.
منشور في 2025"…When are individuals more likely to support equal treatment algorithms (ETAs), characterized by higher predictive accuracy, and when do they prefer equal impact algorithms (EIAs) that reduce performance gaps between groups? A randomized conjoint experiment and a follow-up choice experiment revealed that support for the EIAs decreased sharply as their accuracy gap grew, although impact parity was prioritized more when ETAs produced large outcome discrepancies. …"
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218
Sample attribute table.
منشور في 2025"…When are individuals more likely to support equal treatment algorithms (ETAs), characterized by higher predictive accuracy, and when do they prefer equal impact algorithms (EIAs) that reduce performance gaps between groups? A randomized conjoint experiment and a follow-up choice experiment revealed that support for the EIAs decreased sharply as their accuracy gap grew, although impact parity was prioritized more when ETAs produced large outcome discrepancies. …"
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219
Subgroup analysis – Political affiliation.
منشور في 2025"…When are individuals more likely to support equal treatment algorithms (ETAs), characterized by higher predictive accuracy, and when do they prefer equal impact algorithms (EIAs) that reduce performance gaps between groups? A randomized conjoint experiment and a follow-up choice experiment revealed that support for the EIAs decreased sharply as their accuracy gap grew, although impact parity was prioritized more when ETAs produced large outcome discrepancies. …"
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220
Sample scenario description.
منشور في 2025"…When are individuals more likely to support equal treatment algorithms (ETAs), characterized by higher predictive accuracy, and when do they prefer equal impact algorithms (EIAs) that reduce performance gaps between groups? A randomized conjoint experiment and a follow-up choice experiment revealed that support for the EIAs decreased sharply as their accuracy gap grew, although impact parity was prioritized more when ETAs produced large outcome discrepancies. …"