Frontier analysis for the potential for improvement in reducing the burden of IBD among WCBA across 204 countries and regions. حسب Jiefeng Zhao (9090305)

الموضوعات:

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

الموضوعات:

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

الموضوعات:

Cardiac performance and hemolymph distribution are significantly reduced upon valve malformation. حسب Christian Meyer (6035)

The reduced virulence of Δalta1 mutants is not primarily due to a decrease in growth. حسب Shuhuan Zhang (748003)

Transepithelial resistance of NHBE decreases significantly after PAA exposure. حسب Ellie S. Burns (21246537)

Introgression decreases allelic shuffling. حسب Enrique J. Schwarzkopf (6579275)

EF-24 treatment significantly reduces cell viability in leukemia cell lines. حسب Ajeet P. Singh (22298432)

الموضوعات:

Frequency of tobacco smoking among smokers. حسب Prasanna Herath (20714794)

الموضوعات:

Correlation of lung function parameters with smoking variables. حسب Prasanna Herath (20714794)

الموضوعات:

Anthropometric characteristics of smokers and non-smokers. حسب Prasanna Herath (20714794)

الموضوعات:

Respiratory clinical characteristics of smokers and non-smokers. حسب Prasanna Herath (20714794)

الموضوعات:

Effect of the smoking factor on lung function parameters (FVC, FEV1, PEF, FEF 25_75). حسب Prasanna Herath (20714794)

الموضوعات:

Lung function parameters between smokers and non-smokers. حسب Prasanna Herath (20714794)

الموضوعات:

Increased or reduced ATGL-1 activity does not significantly change <i>N. parisii</i> growth. حسب Hala Tamim El Jarkass (16625309)

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. …"