Showing 1 - 20 results of 33 for search '"statistical computing"', query time: 0.08s Refine Results
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    The usage of application R in historical studies on the example the analysis of youth letters of the 1920s by R. V. Rybakov

    Published 2018-10-01
    “…The possibilities of the R (R Project for Statistical Computing) application in analyzing the content of a historical source are shown. …”
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    Article
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    Factors Associated with High Prevalence of Multibacillary Leprosy in West Bengal: A Case–Control Study by Dipta Kanti Mukhopadhyay, Tarun Kumar Sarkar, Supantha Chatterjee, Soumalya Ray, Pritam Roy, Asit Kumar Biswas

    Published 2024-04-01
    “…R, version 4.1.1 (R Foundation for Statistical Computing, 2021, Vienna, Austria) was used for data analysis. …”
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    Article
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    Impact of Post-Thaw Incubation Time of Frozen Embryos on Clinical Pregnancy Rate by G. Geovin Ranji, Kundavi Shankar, Yamini Asokan, Geetha Veerasigamani, Rashmi Gingade Vittal, Nithya M. Naaram, KR Hema Niveda

    Published 2023-01-01
    “…Statistical Analysis Used: Statistical analysis was performed using version 14 R software version 4.0.1 (2020-06-06) (R foundation for Statistical Computing, Vienna, Austria). A P < 0.05 is taken as significant. …”
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    Lymph Node Adiposity and Metabolic Dysfunction-Associated Steatotic Liver Disease by Jessica M. Rubino, Natalie Yanzi Ring, Krishna Patel, Xiaoqing Xia, Todd A. MacKenzie, Roberta M. diFlorio-Alexander

    Published 2025-01-01
    “…Statistical analysis using univariable and multivariable logistic regression and odds ratios was performed using R version 4.1.0 (2021), the R Foundation for Statistical Computing Platform. <b>Results</b>: We found a significant association between MASLD and mammographic LNA, defined as lymph node (LN) length > 16 mm (<i>p</i> = 0.0004) that remained significant after adjusting for clinical factors, including body mass index (BMI). …”
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    Parental Technoference and Child Problematic Media Use: Meta-Analysis by Jinghui Zhang, Qing Zhang, Bowen Xiao, Yuxuan Cao, Yu Chen, Yan Li

    Published 2025-01-01
    “…A random-effects meta-analysis was performed using R (version 4.2.1; R Foundation for Statistical Computing) with the meta and metafor packages to evaluate the association and conduct moderator analyses. …”
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    “Beyond the Finish Line” the Epidemiology of Injury and Illness in Professional Cycling: Insights from a Year-Long Prospective Study by Thomas Fallon, Rory Nolan, John Peters, Neil Heron

    Published 2025-01-01
    “…(V.4.3.2, R Foundation for Statistical Computing, Vienna, Austria). Ethical approval was obtained from Queens University Belfast, number MHLS 23_175. …”
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    Effectiveness of Mobile Health–Based Gamification Interventions for Improving Physical Activity in Individuals With Cardiovascular Diseases: Systematic Review and Meta-Analysis of... by Tianzhuo Yu, Monica Parry, Tianyue Yu, Linqi Xu, Yuejin Wu, Ting Zeng, Xin Leng, Qian Tong, Feng Li

    Published 2025-01-01
    “…Statistical analyses were conducted using R (version 4.3.2; R Foundation for Statistical Computing). ResultsIn total, 6 randomized controlled trials were included. …”
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    Efficacy and Safety of Non-Vitamin K Anticoagulants for Atrial Fibrillation in Relation to Different Renal Function Levels: A Network Meta-Analysis by Hao Jin, Kongbo Zhu, Lina Wang, Yifan Li, Jingjun Meng, Hong Zhi

    Published 2020-01-01
    “…NMA was analyzed with R (version 3.5.1, R Foundation for Statistical Computing) with the packages gemtc recalling JAGS (version 4.3.0) for the efficacy and safety of each drug with regard to different levels of renal function. …”
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    Forms of anisotropy for spatial variograms by Lina Budrikaitė, Kęstutis Dučinskas

    Published 2004-12-01
    “…Analysis was carried out using R, a system for statistical computation and graphics. …”
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    Modeling of zonal anisotropic variograms by Lina Budrikaitė

    Published 2005-12-01
    “…Models of variograms with zonal anisotropy were fitted to the salinity data using R, the system for statistical computations and analysis. …”
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    s-Goodness for Low-Rank Matrix Recovery by Lingchen Kong, Levent Tunçel, Naihua Xiu

    Published 2013-01-01
    “…Low-rank matrix recovery (LMR) is a rank minimization problem subject to linear equality constraints, and it arises in many fields such as signal and image processing, statistics, computer vision, and system identification and control. …”
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    Teaching Speaking with Multiple Intelligences Method for Eleventh Grade Students of SMKN 3 Langsa by Cut Intan Kausar, Nabilla Aulia Swastica, Anggun Santoso, Haura Tahani, Indah Nur Rizky

    Published 2021-01-01
    “…It was proven by the result of statistical computation which uttered that t-value (18.54) was higher than t-table, t-value > t-table, (2.000, α = 0.05 and dk = 58). …”
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