Results 11 to 20 of about 12,459,906 (292)

JASP: Graphical Statistical Software for Common Statistical Designs

open access: yesJournal of Statistical Software, 2019
This paper introduces JASP, a free graphical software package for basic statistical procedures such as t tests, ANOVAs, linear regression models, and analyses of contingency tables.
Jonathon Love   +15 more
doaj   +2 more sources

Jamovi: An Easy to Use Statistical Software for the Social Scientists

open access: yesInternational Journal of Assessment Tools in Education, 2020
This report aims to introduce the fundamental features of the free Jamovi software to academics in the field of educational measurement for use at undergraduate and graduate level research.
Murat Şahin, Eren Aybek
doaj   +2 more sources

R and the Journal of Statistical Software

open access: yesJournal of Statistical Software, 2016
The Journal of Statistical Software was founded by Jan de Leeuw in 1996, the year before the Comprehensive R Archive Network (CRAN) first made R and contributed R packages widely available on the Internet.
John Fox, Allison Leanage
doaj   +2 more sources

Trends in the Usage of Statistical Software and Their Associated Study Designs in Health Sciences Research: A Bibliometric Analysis. [PDF]

open access: yesCureus, 2021
Background The development of statistical software in research has transformed the way scientists and researchers conduct their statistical analysis.
Masuadi E   +5 more
europepmc   +2 more sources

Comparing multiple statistical software for multiple-indicator, multiple-cause modeling: an application of gender disparity in adult cognitive functioning using MIDUS II dataset. [PDF]

open access: yesBMC Med Res Methodol, 2020
Background The multiple-indicator, multiple-cause model (MIMIC) incorporates covariates of interest in the factor analysis. It is a special case of structural equation modeling (SEM), which is modeled under latent variable framework.
Chang C, Gardiner J, Houang R, Yu YL.
europepmc   +2 more sources

Statistical software for analyzing the health effects of multiple concurrent exposures via Bayesian kernel machine regression. [PDF]

open access: yesEnviron Health, 2018
BackgroundEstimating the health effects of multi-pollutant mixtures is of increasing interest in environmental epidemiology. Recently, a new approach for estimating the health effects of mixtures, Bayesian kernel machine regression (BKMR), has been ...
Bobb JF   +3 more
europepmc   +2 more sources

Examining the Optimal Choice of SEM Statistical Software Packages for Sustainable Mathematics Education: A Systematic Review

open access: yesSustainability, 2023
Intending to analyze structural relationships between measured variables and latent constructs, researchers tend to adopt structural equation modeling (SEM) through either “covariance-based SEM” (CB-SEM) or “variance-based SEM” (VB-SEM)/“partial least ...
Darmaraj Sakaria, S. Maat, M. Matore
semanticscholar   +1 more source

Seaborn: Statistical Data Visualization

open access: yesJournal of Open Source Software, 2021
seaborn is a library for making statistical graphics in Python. It provides a high-level interface to matplotlib and integrates closely with pandas data structures. Functions in the seaborn library expose a declarative, dataset-oriented API that makes it
Michael L. Waskom
semanticscholar   +1 more source

Statistics Teaching Practice at Czech Universities with Emphasis on Statistical Software

open access: yesJournal on Efficiency and Responsibility in Education and Science, 2021
This paper aims to reveal the beliefs of students and fresh university graduates about teaching statistics during their university studies with focus on using statistical software.
Aneta Mazouchová   +2 more
doaj   +1 more source

Weibull Regression and Machine Learning Survival Models: Methodology, Comparison, and Application to Biomedical Data Related to Cardiac Surgery

open access: yesBiology, 2023
In this article, we propose a comparative study between two models that can be used by researchers for the analysis of survival data: (i) the Weibull regression model and (ii) the random survival forest (RSF) model.
Thalytta Cavalcante   +4 more
doaj   +1 more source

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