Showing 61 - 65 results of 65 for search '"Statistical inference"', query time: 0.04s Refine Results
  1. 61

    Analysing the role of the perceptual dimension in the formation of the urban third place by Upendra Joshi, Snehal Nagarsheth

    Published 2024-12-01
    “…We decipher the qualitative observations of the survey using Nvivo, a software tool that supports both descriptive and inferential statistical inferences. The consideration of age versus the diverse perceptual needs of the users explains the interrelationship while making it convenient for the statistical analysis of the study's observations. …”
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  2. 62

    Relationship between personality traits and spontaneous coronary artery dissection risk: evidence from Mendelian randomization by Kun Zheng, Kun Zheng, Mengdi Wu, Junhua Wang, Junhua Wang, Jinjin Sun, Yuqian Li, Peng Wang, Zhiyue Zhang, Xiuming Pan, Yifeng Yang, Tianqi Li, Yujie Guo

    Published 2025-02-01
    “…Besides, data regarding SCAD and personality were extracted from expansive genome-wide association studies (GWAS), and rigorous statistical inferences were made using inverse variance weighting (IVW) and ancillary methodologies. …”
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  3. 63

    Variation in Clinical Presentation, Metabolic Profile, Hormonal Parameters and Inflammatory Markers in Polycystic Ovary Syndrome Women with and without Polycystic Ovary Morphology... by Sweekruti Jena, Ipsita Mishra, Anoj Kumar Baliarsinha, Debarchan Jena, Madhumita Debata

    Published 2023-04-01
    “…P < 0.05 was considered significant for all statistical inferences. Results: The mean LDL and mean triglyceride were higher in Group 2, which was statistically significant (P = 0.004 and P ≤ 0.001, respectively). …”
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  4. 64
  5. 65

    Factors affecting quality of life in women post mastectomy for breast cancer in Baheya Foundation (Egypt): ‘A retrospective cohort study’ by Salsabil Mohammed Abdelrahman, Maher Hassan Ibraheem, Hemat Allam, Vikash Sewram

    Published 2025-02-01
    “…Fisher’s exact and Kruskal-Wallis tests were used for statistical inferences. Generalized linear models were used to predict QoL measures (outcome) by sociodemographic and clinical variables (independent) with adjusting for potential confounders. …”
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