Marginal means – Pooled across scenarios. by 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. by 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. by 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. by 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. by 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. by 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. by 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. …”

Baseline characteristics. by Seung Min Lee (1644409)

“…The distance of the FD decreased (<i>P</i> < 0.001) and FVs increased (<i>P</i> < 0.001, both). …”

Data file used in this study. by Seung Min Lee (1644409)

“…The distance of the FD decreased (<i>P</i> < 0.001) and FVs increased (<i>P</i> < 0.001, both). …”

Changes in foveal location after surgery. by Seung Min Lee (1644409)

“…The distance of the FD decreased (<i>P</i> < 0.001) and FVs increased (<i>P</i> < 0.001, both). …”

Overexpression of miR-184 disrupts the blood-brain barrier and larval locomotion. by Sravya Paluri (5475260)

Intracellular growth of the wild-type strain and <i>FTN_0096</i> mutant in THP-1 cells. by Dhandy Koesoemo Wardhana (21956781)

Intracellular growth and cytotoxicity of the wild-type strain and <i>FTN_0096</i> mutant in HeLa–FcγRII cells. by Dhandy Koesoemo Wardhana (21956781)

Screening of the Transposon Mutant Library. by Dhandy Koesoemo Wardhana (21956781)

miR-184 does not downregulate target pSJ and TCJ mRNA levels but changes Nrv2 expression. by Sravya Paluri (5475260)

Changes in the genotypes of <i>NLRP1</i>, <i>NLRP3</i>, and <i>NLRP4</i>. by Hao Deng (409186)

Subjects:

Effect of the interaction of drinking, smoking and <i>ERCC1</i> rs3212986 on workers exposed to coal dust. by Hao Deng (409186)

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Regression model analysis of the influence of <i>ERCC1</i> rs3212986 on CWP. by Hao Deng (409186)

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Pathways analysis of ERCC1 based on CWP metabolome and proteome. by Hao Deng (409186)

Subjects:

Analysis of basic clinical data of the study population (± s). by Hao Deng (409186)

Subjects: