Age standardized incidence rates of Tuberculosis for the 21 Global Burden of Disease regions by SDI, 1990-2021. حسب Xue Li (285380)

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ASMR of Tuberculosis for the 21 Global Burden of Disease regions by SDI, 1990-2021. حسب Xue Li (285380)

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Incidence, death and DALYs of TB, by age and sex in 2021. حسب Xue Li (285380)

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A) KRAS-orientin docked complex illustrated in the 2-d interaction, B) 3-d interaction of KRAS-orientin, C) 2-d interaction between NTRK and orientin, and D) 3-d interaction patter... حسب Yashwanth Elumalai (21743452)

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A) EGFR-orientin docked complex represented in the 2-d interaction, B) 3-d interaction of EGFR-orientin, C) 2-d interaction between ALK and orientin, and D) 3-d interaction pattern... حسب Yashwanth Elumalai (21743452)

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Spearman correlation matrix analysis of the RAAS system and glucose metabolism indexes at different hypertension subgroups. حسب Ningning Wang (560944)

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Spearman correlation matrix analysis of the RAAS system and glucose metabolism indexes at different normotension subgroups. حسب Ningning Wang (560944)

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Microscopical lesions in trachea and lungs H&E staining on dpi 10. A) Moderate to severe subacute tracheitis (score 2) with epithelial hyperplasia (Asterisk) and mixed inflammatory... حسب Oumayma Arbani (21001472)

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Dynamic stability based on the Feasible Stability Region (FSR). حسب Hyung Suk Yang (20442438)

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Antihypertensive treatment of 151 T2DM patients with hypertension at different subgroups. حسب Ningning Wang (560944)

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The values of angiotensin II حسب Ningning Wang (560944)

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Preference for the EIA – conjoint results. حسب Mehdi Mourali (10170245)

"…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. …"

Marginal means – Pooled across scenarios. حسب Mehdi Mourali (10170245)

"…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. …"

Sample attribute table. حسب Mehdi Mourali (10170245)

"…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. …"

Subgroup analysis – Political affiliation. حسب Mehdi Mourali (10170245)

"…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. …"

Sample scenario description. حسب Mehdi Mourali (10170245)

"…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. …"

AMCEs – Pooled across scenarios. حسب Mehdi Mourali (10170245)

"…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. …"

Methodological flowchart. حسب Mehdi Mourali (10170245)

"…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. …"

Preference for the EIA vs. ETA across scenarios. حسب Mehdi Mourali (10170245)

"…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. …"

Descriptive statistics of alcohol consumption in G7 countries (in litres/capita). حسب Luis Alberiko Gil-Alana (14659817)

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