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Showing 1,881 - 1,900 results of 21,342 for search '(( significantly high decrease ) OR ( significant decrease decrease ))', query time: 0.41s Refine Results
  1. 1881
    Lower quartile of district towns evaluated by the SD-TOPSIS technique ‐ combination of A, B1, B1 and C1.

    Lower quartile of district towns evaluated by the SD-TOPSIS technique ‐ combination of A, B1, B1 and C1. by Roman Vavrek (13200141)

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  2. 1882
    Agreement with tolerance in the order of district towns in the results of SD-TOPSIS application in space ‐ combination A vs. C1.

    Agreement with tolerance in the order of district towns in the results of SD-TOPSIS application in space ‐ combination A vs. C1. by Roman Vavrek (13200141)

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  3. 1883
    The importance of entry criteria from the point of view of the SD method ‐ combinations B1 –B5.

    The importance of entry criteria from the point of view of the SD method ‐ combinations B1 –B5. by Roman Vavrek (13200141)

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  4. 1884
    Comparison of rank correlation analysis results across groups of combinations - B1-B5 vs. C1-C10 vs. D1-D10.

    Comparison of rank correlation analysis results across groups of combinations - B1-B5 vs. C1-C10 vs. D1-D10. by Roman Vavrek (13200141)

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  5. 1885
    Comparison of the selected multi-criteria methods.

    Comparison of the selected multi-criteria methods. by Roman Vavrek (13200141)

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  6. 1886
    Agreement in the order of district towns in the results of the SD-TOPSIS application in space ‐ combination A vs. C1.

    Agreement in the order of district towns in the results of the SD-TOPSIS application in space ‐ combination A vs. C1. by Roman Vavrek (13200141)

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  7. 1887
    Description of results of SD-TOPSIS application (combination A) using selected moment characteristics.

    Description of results of SD-TOPSIS application (combination A) using selected moment characteristics. by Roman Vavrek (13200141)

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  8. 1888
    Results of SD-TOPSIS application ‐ combinations B1-B5.

    Results of SD-TOPSIS application ‐ combinations B1-B5. by Roman Vavrek (13200141)

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  9. 1889
    Results of SD-TOPSIS application ‐ combinations C1-C10.

    Results of SD-TOPSIS application ‐ combinations C1-C10. by Roman Vavrek (13200141)

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  10. 1890
    A set of 2 criteria for the needs of multi-criteria evaluation ‐ combinations D1–D10.

    A set of 2 criteria for the needs of multi-criteria evaluation ‐ combinations D1–D10. by Roman Vavrek (13200141)

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  11. 1891
    Results of SD-TOPSIS application ‐ combination A.

    Results of SD-TOPSIS application ‐ combination A. by Roman Vavrek (13200141)

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  12. 1892
    ANOM analysis of evaluated criteria K1–K5.

    ANOM analysis of evaluated criteria K1–K5. by Roman Vavrek (13200141)

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  13. 1893
    The importance of entry criteria from the point of view of the SD method ‐ combinations C1 –C10.

    The importance of entry criteria from the point of view of the SD method ‐ combinations C1 –C10. by Roman Vavrek (13200141)

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  14. 1894
    The importance of entry criteria from the point of view of the SD method ‐ combination A.

    The importance of entry criteria from the point of view of the SD method ‐ combination A. by Roman Vavrek (13200141)

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  15. 1895
    Shares of antibiotic substances on total prescription in UTI treatment (N39.0, N30.0) by sex and age group in 2019 (female: n = 238.670 prescriptions; male: n = 40.641 prescriptions).

    Shares of antibiotic substances on total prescription in UTI treatment (N39.0, N30.0) by sex and age group in 2019 (female: n = 238.670 prescriptions; male: n = 40.641 prescription... by Thomas Hanslmeier (19949694)

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    Subjects: “…fluoroquinolone shares decreased…”
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  16. 1896
    Shares of antibiotic substances on total prescription by quarter from 2013 to 2019 for female and male patients with UTI (N39.0, N30.0)(female: n = 1.681.255 prescriptions; male: n = 269.151prescriptions).

    Shares of antibiotic substances on total prescription by quarter from 2013 to 2019 for female and male patients with UTI (N39.0, N30.0)(female: n = 1.681.255 prescriptions; male: n... by Thomas Hanslmeier (19949694)

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    Subjects: “…fluoroquinolone shares decreased…”
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  17. 1897
    Shares of specialist groups prescribing 1<sup>st</sup>, 2<sup>nd</sup>, and 3<sup>rd</sup> antibiotic prescriptions in UTI treatment of females (N39.0, N30.0) in 2018 and 2019.

    Shares of specialist groups prescribing 1<sup>st</sup>, 2<sup>nd</sup>, and 3<sup>rd</sup> antibiotic prescriptions in UTI treatment of females (N39.0, N30.0) in 2018 and 2019. by Thomas Hanslmeier (19949694)

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    Subjects: “…fluoroquinolone shares decreased…”
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  18. 1898
    Number of antibiotic prescriptions in female and male patients with UTI (N30.0 and/or N39.0).

    Number of antibiotic prescriptions in female and male patients with UTI (N30.0 and/or N39.0). by Thomas Hanslmeier (19949694)

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    Subjects: “…fluoroquinolone shares decreased…”
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  19. 1899
    Shares of antibiotic substances on total prescription in female patients with UTI (N39.0, N30.0) by physician specialties (GPs: n = 1.299.641 prescriptions; gynecologists n = 141.814 prescriptions; urologists n = 182.100 prescriptions).

    Shares of antibiotic substances on total prescription in female patients with UTI (N39.0, N30.0) by physician specialties (GPs: n = 1.299.641 prescriptions; gynecologists n = 141.8... by Thomas Hanslmeier (19949694)

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    Subjects: “…fluoroquinolone shares decreased…”
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  20. 1900
    Comparison of 1<sup>st</sup>, 2<sup>nd</sup>, and 3<sup>rd</sup> antibiotic prescription.

    Comparison of 1<sup>st</sup>, 2<sup>nd</sup>, and 3<sup>rd</sup> antibiotic prescription. by Thomas Hanslmeier (19949694)

    Published 2024
    Subjects: “…fluoroquinolone shares decreased…”
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