Search alternatives:
significantly improve » significantly improved (Expand Search)
improve decrease » improve disease (Expand Search), improved urease (Expand Search), improves disease (Expand Search)
higher decrease » higher degree (Expand Search), higher degrees (Expand Search), highest increase (Expand Search)
significantly improve » significantly improved (Expand Search)
improve decrease » improve disease (Expand Search), improved urease (Expand Search), improves disease (Expand Search)
higher decrease » higher degree (Expand Search), higher degrees (Expand Search), highest increase (Expand Search)
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2561
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2562
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2563
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2564
Line graph illustrating mean body weight (in grams) at weekly intervals during the induction phase.
Published 2025Subjects: -
2565
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2566
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2567
MMR (maternal deaths per 100,000 live births) and 95% confidence limits, PDHS 2007 and PMMS 2019.
Published 2025Subjects: -
2568
Line graph illustrating mean body weight (in grams) at weekly intervals during the treatment phase.
Published 2025Subjects: -
2569
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2570
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2571
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2572
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2573
Line graph illustrating mean food intake (g) at weekly intervals during the treatment phase.
Published 2025Subjects: -
2574
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2575
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2576
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2577
Preference for the EIA – conjoint results.
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? …”
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2578
Marginal means – Pooled across scenarios.
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? …”
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2579
Sample attribute table.
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? …”
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2580
Subgroup analysis – Political affiliation.
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? …”