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significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
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Showing 1,661 - 1,680 results of 36,050 for search '(( significant decrease decrease ) OR ( significance ((levels increased) OR (teer decrease)) ))', query time: 0.71s Refine Results
  1. 1661
    S1 Data -

    S1 Data - by Surakshya Khanal (19949745)

    Published 2024
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  2. 1662
    Practices towards the prevention of osteoporosis.

    Practices towards the prevention of osteoporosis. by Surakshya Khanal (19949745)

    Published 2024
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  3. 1663
    Source of healthcare information.

    Source of healthcare information. by Surakshya Khanal (19949745)

    Published 2024
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  4. 1664
    Individual characteristics of the participants.

    Individual characteristics of the participants. by Surakshya Khanal (19949745)

    Published 2024
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  5. 1665
    Factors associated with practice regarding osteoporosis among the study participants.

    Factors associated with practice regarding osteoporosis among the study participants. by Surakshya Khanal (19949745)

    Published 2024
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  6. 1666
    Factors associated with knowledge regarding osteoporosis among the study participants.

    Factors associated with knowledge regarding osteoporosis among the study participants. by Surakshya Khanal (19949745)

    Published 2024
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  7. 1667
    Attitude regarding osteoporosis among the study participants.

    Attitude regarding osteoporosis among the study participants. by Surakshya Khanal (19949745)

    Published 2024
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  8. 1668
    Knowledge regarding osteoporosis among the study participants.

    Knowledge regarding osteoporosis among the study participants. by Surakshya Khanal (19949745)

    Published 2024
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  9. 1669
    SFA applied to TM and POLC with a COLLECTIVE perspective. No. observations = 853, No. groups = 128, non-significant μ (average inefficiency) = −0.784, non-significant η (increasing inefficiency) = −1.039, σu2 (similarity between countries) = 0.209, σv2 (similarity between countries over time) = 0.381. Bold = significant at 95%. CONS = estimated constant.

    SFA applied to TM and POLC with a COLLECTIVE perspective. No. observations = 853, No. groups = 128, non-significant μ (average inefficiency) = −0.784, non-significant η (increasing... by Fabio Zagonari (5445374)

    Published 2025
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  10. 1670
    SFA applied to GM and POLP with a COLLECTIVE perspective. No. observations = 601, No. groups = 100, non-significant μ (average inefficiency) = −0.365, non-significant η (increasing inefficiency) = −0.532, σu2 (similarity between countries) = 0.201, σv2 (similarity between countries over time) = 0.635. Bold = significant at 95%. CONS = estimated constant.

    SFA applied to GM and POLP with a COLLECTIVE perspective. No. observations = 601, No. groups = 100, non-significant μ (average inefficiency) = −0.365, non-significant η (increasing... by Fabio Zagonari (5445374)

    Published 2025
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  11. 1671
    SFA applied to TM and POLC with an INDIVIDUAL perspective. No. observations = 853, No. groups = 128, non-significant μ (average inefficiency) = −1.159, non-significant η (increasing inefficiency) = −0.996, σu2 (similarity between countries) = 0.234, σv2 (similarity between countries over time) = 0.379. Bold = significant at 95%. CONS = estimated constant.

    SFA applied to TM and POLC with an INDIVIDUAL perspective. No. observations = 853, No. groups = 128, non-significant μ (average inefficiency) = −1.159, non-significant η (increasin... by Fabio Zagonari (5445374)

    Published 2025
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  12. 1672
    SFA applied to GM and POLP with an INDIVIDUAL perspective. No. observations = 601, No. groups = 100, non-significant μ (average inefficiency) = −0.656, non-significant η (increasing inefficiency) = −0.492, σu2 (similarity between countries) = 0.250, σv2 (similarity between countries over time) = 0.635. Bold = significant at 95%. CONS = estimated constant.

    SFA applied to GM and POLP with an INDIVIDUAL perspective. No. observations = 601, No. groups = 100, non-significant μ (average inefficiency) = −0.656, non-significant η (increasin... by Fabio Zagonari (5445374)

    Published 2025
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  13. 1673
    Segmented regression analysis of time to intravenous antimicrobial administration (IVA) at intervention and control sites during the implementation period.

    Segmented regression analysis of time to intravenous antimicrobial administration (IVA) at intervention and control sites during the implementation period. by J Mark Ansermino (13958512)

    Published 2025
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  14. 1674
    Interrupted time series analysis showing time to intravenous antimicrobials (IVA) in minutes at intervention and control sites in Uganda during baseline and implementation periods.

    Interrupted time series analysis showing time to intravenous antimicrobials (IVA) in minutes at intervention and control sites in Uganda during baseline and implementation periods. by J Mark Ansermino (13958512)

    Published 2025
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  15. 1675
    Kenya: Enrolment, time to IVA, mortality, admissions and readmissions at sites in Kenya.

    Kenya: Enrolment, time to IVA, mortality, admissions and readmissions at sites in Kenya. by J Mark Ansermino (13958512)

    Published 2025
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  16. 1676
    Uganda: enrolment, time to IVA, mortality, admissions and readmissions.

    Uganda: enrolment, time to IVA, mortality, admissions and readmissions. by J Mark Ansermino (13958512)

    Published 2025
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  17. 1677
    Interrupted time series analysis showing time to intravenous antimicrobials (IVA) in minutes at intervention and control sites in Kenya during baseline and implementation periods.

    Interrupted time series analysis showing time to intravenous antimicrobials (IVA) in minutes at intervention and control sites in Kenya during baseline and implementation periods. by J Mark Ansermino (13958512)

    Published 2025
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  18. 1678
    Bluetooth beacons with colour coded lanyards.

    Bluetooth beacons with colour coded lanyards. by J Mark Ansermino (13958512)

    Published 2025
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  19. 1679
    Flow diagram of the Smart Triage multisite interventional study in Uganda and Kenya indicating the progress through study phases at each site.

    Flow diagram of the Smart Triage multisite interventional study in Uganda and Kenya indicating the progress through study phases at each site. by J Mark Ansermino (13958512)

    Published 2025
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  20. 1680
    The trend of observed changes in t<sub>balance</sub>, t<sub>peak</sub> and D<sub>max</sub>, with increasing IOP levels.

    The trend of observed changes in t<sub>balance</sub>, t<sub>peak</sub> and D<sub>max</sub>, with increasing IOP levels. by Ali Dahaghin (14294321)

    Published 2025
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