Showing 1 - 6 results of 6 for search '(( significantly weights increases ) OR ( significant linear decrease ))~', query time: 0.06s Refine Results
  1. 1

    Effect of consanguinity on birth weight for gestational age in a developing country by Wakim, Gerard

    Published 2007
    “…No significant difference was observed in the decrease in birth weight between the first- and second-cousin marriages. …”
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    article
  2. 2

    Using Data Mining and Text Mining Techniques in Predicting the Price of Real Estate Properties in Dubai by Khashan, Deena Younis Abo

    Published 2014
    “…It is found that the results of linear regression prediction have been improved significantly after adding text mining to the experiments. …”
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  3. 3

    Nutritional Status and Clinical Outcomes of Children with Medical Complexity in the United Arab Emirates: A Retrospective Cross-Sectional Study by Al Slaybe, Maryam

    Published 2025
    “…Longer hospital length of stay was associated with reduced LAZ scores (β = -0.005, p = 0.006) and increased WLZ scores (β = 0.006, p = 0.035). Although undernourished children exhibited higher rates of early readmission, recurrent admission, and in-hospital mortality, these associations were not statistically significant. …”
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    masterThesis
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    A customised fetal growth and birthweight standard for Qatar: a population-based cohort study by Thomas Farrell (3933833)

    Published 2024
    “…Constitutional coefficients significantly affecting birthweight were gestational age, height, weight, and parity. …”
  6. 6

    Relationship between Asymmetry Indices, Anthropometric Parameters, and Physical Fitness in Obese and Non-Obese High School Students by Monoem Haddad (5345357)

    Published 2022
    “…In the first regression analysis, controlling for age, body mass, height, and body mass index (BMI), the regression coefficient (B = 0.383, 95% confidence interval [CI] [0.088, 0.679], p < 0.05) associated with body fat indicated that with each additional unit of body fat, the YBT AI increased by 0.383 units. In the second regression analysis, controlling for age, body mass, and BMI, the regression coefficients associated with height (B = −1.692, 95% CI [−3.115, −0.269], p < 0.05] and body fat percentage (B = 0.529, 95% CI [0.075, 0.983], p < 0.05) indicated that with each additional unit of height or body fat percentage, the CMJ AI decreased by 1.692 units and increased by 0.529 units. …”