Showing 461 - 480 results of 2,541 for search 'Evaluation Group for Analysis of Data', query time: 0.27s Refine Results
  1. 461

    Predictive value of bedside diaphragmatic ultrasonography for extubation success in critically ill patients after general anaesthesia: A meta-analysis with trial sequential analysi... by Lan Ma, Na Zhou, Kaiming Yuan, Zihao Xue, Kai Lv, Jingying Huang

    Published 2025-01-01
    “…Quality was assessed via the Newcastle-Ottawa Scale (NOS), and publication bias was evaluated through funnel plots and Egger’s test. Cumulative meta-analysis, sub-group analyses, and TSA were used to explore heterogeneity and assess evidence reliability. …”
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    Collecting Real-World Data via an In-Home Smart Medication Dispenser: Longitudinal Observational Study of Survey Panel Persistency, Response Rates, and Psychometric Properties by Benjamin Ogorek, Thomas Rhoads, Erica Smith

    Published 2025-02-01
    “…Patients were grouped by mean response rates in the 12th month (<90% vs ≥90%) to observe differential response rate trends. …”
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  5. 465

    Results from the PROmoting Early Childhood Outside cluster randomized trial evaluating an outdoor play intervention in early childhood education centres by Rachel Ramsden, Dawn Mount, Yingyi Lin, Emily Fox, Susan Herrington, Janet Loebach, Adina Cox, Anita Bundy, Amber Fyfe-Johnson, Ellen Beate Hansen Sandseter, Michelle Stone, Mark S. Tremblay, Mariana Brussoni

    Published 2025-01-01
    “…Controlling for gender, weather and temperature, there were no changes in children’s outdoor play participation following implementation of the PRO-ECO intervention in the between-group analysis. Within-group comparisons also revealed no change in play participation following the PRO-ECO intervention, however, the intervention group showed a positive effect (OR = 1.28, 95% CI = 0.97, 1.70) in play participation 6 months after implementation of the intervention. …”
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  6. 466

    COMPARATIVE ANALYSIS OF THE IMPACTS OF RISKS ON BONDED AND UNBONDED CONSTRUCTION PROJECTS by Ayodeji OKE

    Published 2016-12-01
    “…Questionnaires were administered on 337 respondents out of which 242 were returned while 236 were certified fit for analysis. Mean item score was used for ranking the identified factors while Kruskal-Wallis and Mann- Whitney tests were employed to examine relationship and differences in sample means of different groups of respondents respectively. …”
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  7. 467

    Analysis of Ethereum transactions during the prevention and investigation of criminal offenses by V. V. Nosov, O. V. Manzhai, Ye. V. Panchenko

    Published 2022-12-01
    “…The key standards that characterize the work of the Ethereum platform have been analyzed, explanations of key terms have been provided. The essential data in the blockchain for analysis have been highlighted, the procedure for accessing the Ethereum blockchain transactions has been described. …”
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    Ecological-trophic structure of soil microbial communities in the the middle Ob floodplain by Ellina G. Nikitkina, Inna V. Lushchaeva, Victor A. Nikitkin, Sergey N. Kirpotin, Larisa G. Kolesnichenko

    Published 2024-12-01
    “…The relationship of bacteria of different physiological groups with seasonal variations and physical and chemical properties of soils, and the links between bacteria were identified and evaluated. …”
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    Study of the genetic polymorphism of diploid wheat Triticum boeoticum Boiss. using SSR markers by M. A. Abbasov

    Published 2018-08-01
    “…Unique alleles were found in all loci studied. Cluster analysis allowed the accessions studied to be combined into five major groups. …”
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    Evaluation of placental growth factor, Vitamin D, and systemic inflammatory index as predictive biomarkers for preeclampsia severity: a retrospective cohort study by Xiaoyan Han, Hua Yang

    Published 2025-01-01
    “…Participants were divided into three groups: control (n = 217), mild preeclampsia (n = 101), and severe preeclampsia (n = 67). …”
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  16. 476

    The optimization model for allocating reward to employees using GAHP and cluster analysis by Mehdi Ajalli

    Published 2024-12-01
    “…The research method is practical in terms of purpose and descriptive survey in terms of data collection. For this purpose, first, by designing and distributing a comparative questionnaire of indicators and completing them by the experts of Shahid Fakuri Industries' component manufacturing unit, and by using the group hierarchical analysis process model with Expert Choice software, the weight of the effective indicators in employee evaluation was calculated, then the values of the indicators for 29 employees with using the formula of the normalization function in the Excel software, it is standardized, and the weight of the indicators is multiplied by the standard values of the data, and then the distance matrix and the optimal number of clusters are calculated through the Machaon software, and finally, using the discriminative clustering approach and using the K-means method, data clustering was done with SPSS and Makaon software and a suitable model was presented for allocating rewards to the workers of the parts making unit.…”
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  17. 477

    Construction and evaluation of a triage assessment model for patients with acute non-traumatic chest pain: mixed retrospective and prospective observational study by Xuan Zhou, Gangren Jian, Yuefang He, Yating Huang, Jie Zhang, Shengfang Wang, Yunxian Wang, Ruofei Zheng

    Published 2025-01-01
    “…The AUC of our model in the development and validation groups was 0.919 (95%CI: 0.891 ~ 0.974) and 0.904 (95%CI: 0.855 ~ 0.952). …”
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  18. 478

    Evaluation and Measurement of Health-Related Quality of Life for Individuals with Diabetes Mellitus by Health Utilities Index Mark 3 (HUI3) System by Frank Mo, Howard Morrison, Bernard C.K. Choi, Lianne Vardy

    Published 2006-01-01
    “…The study was based on the Canadian National Population Survey (NPHS) longitudinal data, from 1994—1995 to 2002—2003. We evaluated overall HUI3 scores and eight attributes (vision, hearing, speech, ambulation, dexterity, emotion, cognition, and pain) between respondents with and without diabetes in relation to demographic characteristics (age, sex, lifestyle, and socioeconomic status using ANCOVA[analysis of covariance]). …”
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