iKIR score decreases protection associated with protective class II genotypes in T1D. حسب Laura Mora-Bitria (20477525)

Theoretical frameworks of social protection. حسب Na Chen (153323)

الموضوعات:

Autophagy significantly increases RGCs loss. حسب Hongmei Qian (538647)

الموضوعات:

Autophagy significantly increases RGCs loss. حسب Hongmei Qian (538647)

الموضوعات:

Intervention with MLKL decreased neutrophil death and protected mice against <i>E. coli</i> pneumonia. حسب Qinyu Luo (13000956)

Modified version of the Caregiving Stress Model for Post Intensive Care Syndrome – Family impairments. حسب Cristobal Padilla-Fortunatti (21376807)

الموضوعات:

SPIRIT schedule: Timeline of recruitment and assessment. <i>t</i>₀: Daily screening; <i>t</i>₁: Between the 3^rd and 10^th day of ICU admi... حسب Cristobal Padilla-Fortunatti (21376807)

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Questionnaire description. حسب Cristobal Padilla-Fortunatti (21376807)

الموضوعات:

Variables and generalized linear mixed models to explore PICS-F impairments. حسب Cristobal Padilla-Fortunatti (21376807)

الموضوعات:

RTA408 significantly reduces RGCs loss. حسب Hongmei Qian (538647)

الموضوعات:

RTA408 significantly reduces RGCs loss in glaucoma. حسب Hongmei Qian (538647)

الموضوعات:

Decrease of cellular cAMP levels in response to a concentration range of melatonin treatments. حسب Cathryn S. D. Maienza (20629929)

Table 2 - حسب Rosanna Mary Rooney (17595801)

"…Additionally, it will likely highlight significant trends in risk and protective factors, such as the dual role of academic achievement—both as a risk and protective factor—and the impact of family-based interventions. …"

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. …"