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A posterior probability approach for gene regulatory network inference in genetic perturbation data
Published 2016-07-01Subjects: Get full text
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The usage of application R in historical studies on the example the analysis of youth letters of the 1920s
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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Factors Associated with High Prevalence of Multibacillary Leprosy in West Bengal: A Case–Control Study
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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Impact of Post-Thaw Incubation Time of Frozen Embryos on Clinical Pregnancy Rate
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
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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Assessment of Impact of Meteorology and Precursor in Long-term Trends of PM and Ozone in a Tropical City
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Parental Technoference and Child Problematic Media Use: Meta-Analysis
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
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...
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
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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Mathematical Modeling and Optimization of Industrial Problems
Published 2015-01-01Get full text
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Comparison of ARIMA and Artificial Neural Networks Models for Stock Price Prediction
Published 2014-01-01Get full text
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Forms of anisotropy for spatial variograms
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
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
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
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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