Showing 7,481 - 7,500 results of 18,768 for search 'significantly ((((((we decrease) OR (a decrease))) OR (mean decrease))) OR (observed decrease))', query time: 0.60s Refine Results
  1. 7481

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

    Published 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. …”
  2. 7482

    Sample attribute table. by Mehdi Mourali (10170245)

    Published 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. …”
  3. 7483

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

    Published 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. …”
  4. 7484

    Sample scenario description. by Mehdi Mourali (10170245)

    Published 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. …”
  5. 7485

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

    Published 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. …”
  6. 7486

    Methodological flowchart. by Mehdi Mourali (10170245)

    Published 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. …”
  7. 7487

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

    Published 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. …”
  8. 7488

    Data Sheet 1_Metabolic adaptation fluctuates with different prediction equations: a secondary analysis based on a weight-loss clinical trial.docx by Molian Tang (18876955)

    Published 2025
    “…Both Katch-McArdle-determined RMR and BIA-determined RMR presented a significant decrease between baseline and the end of the intervention (week 16). …”
  9. 7489
  10. 7490

    Identification of narciclasine as a novel NRF2 inhibitor by Hoang Hai Ngo (20564072)

    Published 2025
    “…Finally, we observed that administration of narciclasine significantly decreased the growth of A549 xenografts. …”
  11. 7491
  12. 7492

    Mediating effect of sexual interest in a sibling. by Kelly M. Babchishin (7384031)

    Published 2024
    “…Instead, constant proximity was related to a decreased chance that sibling incest had occurred, through its relationship with sexual interest in a sibling.…”
  13. 7493

    VB2 cell fate analysis of <i>hlh-17</i>, <i>hlh-31</i>, and <i>hlh-32</i> mutant animals. by G. Robert Aguilar (13889674)

    Published 2025
    “…Error bars indicate standard deviation of the mean. ****<i>p</i> ≤ 0.0001, *<i>p</i> ≤ 0.05, ns: not significant. …”
  14. 7494

    Telomere length (TL) in maternal blood samples. by Océane Coudrieu (21672861)

    Published 2025
    “…<p>A. Age-dependent decrease in the leukocyte TL in the control groups of the study, comparing pregnant and non-pregnant women. …”
  15. 7495

    Typical structure of a centrifugal nozzle [25]. by Yanyu Cui (19173181)

    Published 2025
    “…As temperature rises from 0°C to 50°C, liquid film thickness decreases, with a reduction of 14.6% for low-blending fuel and 52.8% for high-blending fuel.…”
  16. 7496

    Patients’ responses to EQ5-D items. by Walid Al-Qerem (3760027)

    Published 2024
    “…Moreover, patients with only an elementary education had significantly lower EQ5-D scores compared to those with a postgraduate education (-0.106, 95%CI (-0.190, -0.023), p = 0.013).…”
  17. 7497
  18. 7498
  19. 7499

    Multiple comparisons after ANOVA(CR10). by Xinyu Dai (5100731)

    Published 2025
    “…</p><p>Results</p><p>Following the intervention, a significant difference in CR10 was observed between the various groups. …”
  20. 7500

    Homogeneity test of CR10. by Xinyu Dai (5100731)

    Published 2025
    “…</p><p>Results</p><p>Following the intervention, a significant difference in CR10 was observed between the various groups. …”