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About 10,000 papers for “Bivariate analysis”

Bivariate analysis

Slavec, Ana · Zenodo (CERN European Organization for Nuclear Research) · 2019

Fourth part of statistics course materials for the Sustainable Built Environment programme (master level) at the Faculty of Mathematics, Natural Sciences and Information Technology, University of Primorska. The topic is bivariate measures of association: association between nominal variables, association between ordinal and interval-ratio variables. Third part available here: https://zenodo.org/record/3911851#.Xvjj3ygzYuU Fifth part available here: https://zenodo.org/record/3911861#.XvjoIygzYuU

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Bivariate analysis.

Kelsey Badger (17756117), Pamela Baez Caraballo (17537377), Ahzyris Gibbs (17756120) et al. · Figshare · 2024

<div><p>Violence against adolescents is a pressing health problem with long-term implications for future physical and mental well-being, such as thoughts of self-harm, which have been associated with suicidal ideation and completion. However, much of the research has been conducted only in high-income countries. This study aimed to examine the correlation between violence against adolescents and self-harm thoughts in La Romana, Dominican Republic (DR). Cross-sectional survey data was collected at a community-based clinic from participants aged 13–20. Participants were recruited through the clinic’s adolescent program and peer referral, and verbal consent was obtained. A survey solicited information about each participant’s demographics, experiences with violence, and thoughts of harm to self or others. The survey was completed by 49 adolescents. The mean age was 16.78 (SD 2.34); 65% were female. We performed t-tests and Fisher’s exact to investigate the relationship between demographics, reported violence experiences and having self-harm thoughts. About half (45%) had experienced physical violence, 76% had experienced emotional violence, and 12% had experienced sexual violence. The most common perpetrators of physical and emotional violence were classmates (12% and 24%), and the most common perpetrator of sexual violence was an ex-partner (4.1%). Ten participants (20.4%) had thought about harming themselves. Self-harm thoughts were significantly associated with being female (p = 0.025), employed (p = 0.05), and to a higher number of experiences of physical (0.029) and sexual violence (p = 0.023). The results of this study suggest a high prevalence of both violence and self-harm thoughts in adolescents in the DR. Interventions that address physical and sexual violence against adolescents may be particularly important. Particular attention should also be paid to screening for self-harm thoughts in female-identifying adolescents. Further research is needed to better understand the relationship between violence and self-harm thoughts in adolescents in the DR.</p></div>

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Bivariate analysis.

Marcello Tirani (721129), Michela Meregaglia (721130), Alessia Melegaro (201035) · Figshare · 2015

<p>Bivariate analysis: A: ICER values at varying vaccine efficacy (%) and duration of vaccine-induced immunity (years); B: ICER values at varying vaccine cost per dose (€) and base case incidence (multiplier).</p>

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Bivariate analysis

Foreman, Charles Louis, 1918-, Foreman, Charles Louis, 1918- · UA Campus Repository (The University of Arizona) · 1943

This item was digitized from a paper original. If you need higher-resolution images for any content in this item, please contact us at repository@u.library.arizona.edu.

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Bivariate analysis.

Mª Genoveva Dancausa Millán (10104980), Mª Genoveva Millán Vázquez de la Torre (10104983), Ricardo Hernández Rojas (10104986) · Figshare · 2021

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Bivariate analysis

2003

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Bivariate analysis

Slavec, Ana · Zenodo (CERN European Organization for Nuclear Research) · 2024

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Bivariate analysis

Alan Bryman, Duncan Cramer · 2010

Quantitative data analysis is now a compulsory component of most degree courses in the social sciences and students are increasingly reliant on computers for the analysis of data. Quantitative Data Analysis with Minitab explains statistical tests for Minitab users using the same formulae free, non technical approach, as the very successful SPPS version.Students will learn a wide range of quantitative data analysis techniques and become familiar with how these techniques can be implemented through the latest version of Minitab. Techniques covered include univariate analysis (with frequency table, dispersion and histograms), bivariate (with contingency tables correlation, analysis of varience and non-parametric tests) and multivariate analysis (with multiple regression, path analysis, covarience and factor analysis). In addition the book covers issues such as sampling, statistical significance, conceptualisation and measurement and the selection of appropriate tests. Each chapter concludes with a set of exercises.Social science students will welcome this integrated, non mathematical introduction to quantitative data anlysis and the minitab package.

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Bivariate analysis.

Tâmara P. Taporoski (835659), André B. Negrão (835660), Andréa R. V. R. Horimoto (835661) et al. · Figshare · 2015

<p>ρ<sub>p</sub> = phenotypic correlation; ρ<sub>g</sub> = genetic correlation; ρ<sub>e</sub> = environmental correlation. Values are shown with standard deviation for ρ<sub>g</sub> and ρ<sub>e</sub>.</p><p>Bivariate analysis.</p>

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Bivariate analysis.

Louise Devillers (4797564), Jonathan Sicsic (455859), Angelique Delbarre (4797561) et al. · Figshare · 2018

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Bivariate analysis

Foreman, Charles Louis, 1918-, Foreman, Charles Louis, 1918- · UA Campus Repository (The University of Arizona) · 2015

This item was digitized from a paper original. If you need higher-resolution images for any\ncontent in this item, please contact us at repository@u.library.arizona.edu.

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Bivariate analysis

Clive Seale · 2025

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Bivariate analysis.

Rashida-E Ijdi (10208295), Chelsea M. Ducille (22614820), Kavita Singh (182141) · Figshare · 2025

<div> Despite notable reductions in Bangladesh’s maternal mortality ratio (MMR), maternal deaths remain high, with many attributed to preventable obstetric complications. Timely recognition of maternal complications during pregnancy, delivery, or postpartum is crucial, yet maternal knowledge remains limited. This study explored pregnant women’s knowledge of maternal complications in Bangladesh and predictors of knowledge acquisition. We analyzed data from 5,625 currently pregnant women using the nationally representative 2016 Bangladesh Maternal Mortality and Health Care Survey (BMMS). Knowledge of maternal complications was assessed based on the spontaneous mention of at least three danger signs across pregnancy, childbirth, or postpartum periods. Using a conceptual framework grounded in Andersen’s behavioral model, multivariable Ordinary Least Squares (OLS) regressions were conducted to identify predictors of knowledge. Survey weights and clustering were accounted for in all analyses. Only 17.3% of pregnant women demonstrated sufficient knowledge of maternal complications. Knowledge varied significantly by age, education, and region. Women aged 30 and above, with secondary education or higher, and from urban areas were more likely to recognize key danger signs. Regional disparities were pronounced, with women in Chittagong and Sylhet divisions displaying significantly lower awareness compared to those in Dhaka. The study revealed low awareness of obstetric danger signs among pregnant women in Bangladesh, with substantial sociodemographic and regional disparities. Targeted interventions, particularly those focused on education, rural outreach, and antenatal care (ANC) counseling, are urgently needed to bridge the knowledge gap. Additionally, enhancing timely care-seeking may contribute to efforts to reduce maternal mortality in Bangladesh. </div>

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