Search alternatives:
significant county » significant country (Expand Search), significant amount (Expand Search), significant cluster (Expand Search)
inter decrease » linear decrease (Expand Search), water decreases (Expand Search), step decrease (Expand Search)
teer decrease » mean decrease (Expand Search), greater decrease (Expand Search)
county based » country based (Expand Search), community based (Expand Search), city based (Expand Search)
Showing 21 - 40 results of 1,821 for search '(( significant county based ) OR ( significant ((inter decrease) OR (teer decrease)) ))', query time: 1.90s Refine Results
  1. 21
    Classification of immune responses based on anti-HBs titres, vaccination and HBV exposure status among HCW at KNH, Mbagathi County and Naivasha sub-county hospitals.

    Classification of immune responses based on anti-HBs titres, vaccination and HBV exposure status among HCW at KNH, Mbagathi County and Naivasha sub-county hospitals. by Irene Ann Mwangi (15213367)

    Published 2023
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  2. 22
    Location of the counties in Illinois and areas sampled in this study.

    Location of the counties in Illinois and areas sampled in this study. by Daniel B. Raudabaugh (14197554)

    Published 2022
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  3. 23
    Map of Liberia showing the study site, Bong county, and other integrated CM-NTDs pilot counties.

    Map of Liberia showing the study site, Bong county, and other integrated CM-NTDs pilot counties. by Tiawanlyn G. Godwin-Akpan (15447213)

    Published 2023
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  4. 24
    Distribution of wasting across different age groups among the 24 counties.

    Distribution of wasting across different age groups among the 24 counties. by Morris Ogero (6423143)

    Published 2025
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  5. 25
    BA attenuated the decrease in the expression of ZO-1 and Occludin induced by LPS in Caco2 cells.

    BA attenuated the decrease in the expression of ZO-1 and Occludin induced by LPS in Caco2 cells. by Luqiong Liu (11537092)

    Published 2024
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  6. 26
    Means and standard deviations of socioeconomic and -demographic factors of counties that have overlap compared to the rest of the counties within the different scenarios.

    Means and standard deviations of socioeconomic and -demographic factors of counties that have overlap compared to the rest of the counties within the different scenarios. by Jobst Augustin (12275383)

    Published 2024
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  7. 27
    Coefficients and significance.

    Coefficients and significance. by Haiying Lin (3623720)

    Published 2024
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  8. 28
    Variables with statistically significant relationships to proxy NAFLD and NASH diagnoses.

    Variables with statistically significant relationships to proxy NAFLD and NASH diagnoses. by Wayne Eskridge (11773009)

    Published 2021
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  9. 29
    Trends in inter-provincial agricultural carbon emission Dagum Gini coefficient rankings, 2010–2020.

    Trends in inter-provincial agricultural carbon emission Dagum Gini coefficient rankings, 2010–2020. by Lingzhi Tan (19146572)

    Published 2024
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  10. 30
    The map of modified STI for all parcels in the southern part of Bryan County.

    The map of modified STI for all parcels in the southern part of Bryan County. by Nahal Hoghooghi (11331270)

    Published 2021
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  11. 31
    Allocative efficiency of resources towards the reduction of anemia prevalence in children in 24 counties.

    Allocative efficiency of resources towards the reduction of anemia prevalence in children in 24 counties. by Morris Ogero (6423143)

    Published 2025
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  12. 32
    Number of observations by county and fiscal year.

    Number of observations by county and fiscal year. by Oral Capps Jr. (21238299)

    Published 2025
    “…On average, Hispanic participants experienced greater dietary improvements than non-Hispanic participants. Based on regression analysis, geographic location and participation in public assistance programs such as the Child Nutrition Program (CNP) significantly impacted total HEI scores, but age, income, and hours taught in EFNEP were not statistically significant determinants. …”
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  13. 33
    Odds ratio analysis of statistically significant variables for TE and CAP scores.

    Odds ratio analysis of statistically significant variables for TE and CAP scores. by Wayne Eskridge (11773009)

    Published 2021
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  14. 34
    Comparison of the results between the two counties.

    Comparison of the results between the two counties. by Shaofeng Hao (13955380)

    Published 2022
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  15. 35
    County characteristics by telehealth and oncology services provision status, 2019.

    County characteristics by telehealth and oncology services provision status, 2019. by David I. Shalowitz (14526603)

    Published 2023
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  16. 36
    Multiplication rate of J774 and RAW cells in relation to the intracellular growth of ITMAP-263 (not showing significant intracellular multiplication in PECs) and LEM3049 (showing rapid intracellular replication in PECs).

    Multiplication rate of J774 and RAW cells in relation to the intracellular growth of ITMAP-263 (not showing significant intracellular multiplication in PECs) and LEM3049 (showing r... by Sarah Hendrickx (321143)

    Published 2019
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  17. 37
    The association of county-level factors with linkage to care status across the counties in South Carolina from 2010 to 2018: Stepwise based Generalized Estimating Equations (GEE) model.

    The association of county-level factors with linkage to care status across the counties in South Carolina from 2010 to 2018: Stepwise based Generalized Estimating Equations (GEE) m... by Fanghui Shi (15992680)

    Published 2023
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  18. 38
    Results for Bayesian binary probit and Bayesian spatial binary probit models in Clark County.

    Results for Bayesian binary probit and Bayesian spatial binary probit models in Clark County. by Daiquan Xiao (12501368)

    Published 2025
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  19. 39
    County-level geographical septile distribution for the first 12 statistically significant factors with at least one statistically significant coefficient ranked by decreasing ΔIC.

    County-level geographical septile distribution for the first 12 statistically significant factors with at least one statistically significant coefficient ranked by decreasing ΔIC. by Yanan Long (11784717)

    Published 2021
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  20. 40
    Allocative efficiency of resources towards reduction of anemia prevalence in pregnant women in 24 counties.

    Allocative efficiency of resources towards reduction of anemia prevalence in pregnant women in 24 counties. by Morris Ogero (6423143)

    Published 2025
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