21 papers · ranked by Valyu relevance
Alexander Muacevic, John R Adler, Emad Masuadi, Mohamud Mohamud + 4 more
'Muhannad Almutairi' 'Abdulaziz Alsunaidi' 'Abdulmohsen K Alswayed' 'Omar F Aldhafeeri'] Background The development of statistical software in research has transformed the way scientists and researchers conduct their statistical analysis. Despite these advancements, it was not clear which statistical software is mainly…
Amelia McNamara
When Rolf Biehler wrote his 1997 paper, "Software for Learning and for Doing Statistics," some educators were already using computers in their introductory statistics classes (Biehler 1997). Biehler's paper laid out suggestions for the conscious improvement of software for statistics, and much of his vision has been…
Allard E Dembe, Jamie S Partridge, Laurel C Geist
Background This study aims to identify the statistical software applications most commonly employed for data analysis in health services research (HSR) studies in the U.S. The study also examines the extent to which information describing the specific analytical software utilized is provided in published articles…
Arnab Chakraborty, Eric D. Feigelson, G. Jogesh Babu
VOStat is a Web service providing interactive statistical analysis of astronomical tabular datasets. It is integrated into the suite of analysis and visualization tools associated with the international Virtual Observatory (VO) through the SAMP communication system. A user supplies VOStat with a dataset extracted from…
Diego A. Forero, Pentti Nieminen
Objective A major problem with reviewing the statistical methodology in published medical articles is that extracting the necessary details from large sample sets is time-consuming. This paper demonstrates how a novel automated procedure can extract information about statistical reporting from literature. To illustrate…
Hamed Haselimashhadi, Jeremy C Mason, Ann-Marie Mallon, Damian Smedley + 2 more
Reproducibility in the statistical analyses of data from high-throughput phenotyping screens requires a robust and reliable analysis foundation that allows modelling of different possible statistical scenarios. Regular challenges are scalability and extensibility of the analysis software. In this manuscript, we…
Authors not listed
We developed OpenStats, a user-friendly web application that brings the power of the R language to researchers through a high-level interface and broad support for statistical methods such as t-tests and ANOVA. OpenStats was integrated into our electronic lab notebook Chemotion ELN via its third-party API, enabling…
M. Isabel Parra, Eva L. Sanjuán, M. Carmen Robustillo, Mario M. Pizarro
'Mario M. Pizarro'] R is a language and environment for statistical computing and graphics, which provides a wide variety of statistical tools (modeling, statistical testing, time series analysis, classification problems, machine learning, ...), together with amazing graphical techniques and the great advantage that it…
Tanguy Pace-Loscos, Jocelyn Gal, Sara Contu, Renaud Schiappa + 2 more
'Emmanuel Chamorey' 'Dorian Culié'] Background In the realm of biomedical research, the growing volume, diversity and quantity of data has escalated the demand for statistical analysis as it is indispensable for synthesizing, interpreting, and publishing data. Hence the need for accessible analysis tools drastically…
Estevao Alves da Silva
About 15 years ago, statistical softwares were rarely employed to conduct statistical analyses, and biologists/ecologists used roughly 100 statistical procedures in research. This number has likely increased substantially with the development of new analytical methods and the widespread adoption of computers and…
R.J. Leigh, R.A. Murphy, F. Walsh
There is a reproducibility crisis in scientific studies. Some of these crises arise from incorrect application of statistical tests to data that follow inappropriate distributions, have inconsistent equivariance, or have very small sample sizes. As determining which test is most appropriate for all data in a…
Eunice Jun, Maureen Daum, Jared Roesch, Sarah Chasins + 3 more
'Emery D. Berger' 'René Just' 'Katharina Reinecke'] Though statistical analyses are centered on research questions and hypotheses, current statistical analysis tools are not. Users must first translate their hypotheses into specific statistical tests and then perform API calls with functions and parameters. To do so…
Weiyuntian Dai, Yonglin Yi, Anqi Lin, Chaozheng Zhou + 4 more
Meta-analysis is a common statistical method used to summarize multiple studies that cover the same topic. It can provide less biased results and explain heterogeneity between studies. Although there exists a variety of meta-analysis softwares, they are rarely both convenient to use and capable of comprehensive…
Rising Odegua
A large amount of data is produced every second from modern information systems such as mobile devices, the world wide web, Internet of Things, social media, and so on. Analysis and mining of these massive data require a lot of advanced tools and techniques. Therefore, big data analytics and mining is currently an…
Philip Heesen, Malgorzata Roos
Background The successful completion of clinical trials ultimately depends on realistic recruitment predictions. Statistical methods for recruitment prediction implemented in a free-of-charge open-source software could be routinely used by researchers worldwide to design clinical trials. However, the availability of…
Sosa Sebastian, Puga-Gonzalez Ivan, Hu Feng He, Zhang Peng + 2 more
How animals interact and develop social relationships regarding, individual attributes, sociodemographic and ecological pressures is of great interest. New methodologies, in particular Social Network Analysis, allow us to elucidate these types of questions. However, the different methodologies developed to that end and…
Mingze Bai, Jingwen Deng, Chengxin Dai, Julianus Pfeuffer + 1 more
Testing for significant differences in quantities on protein level is a common goal of many LFQ-based mass spectrometry proteomics experiments. Starting from a table of protein and/or peptide quantities from a fixed proteomics quantification software, there exists a multitude of tools and R packages to perform the…
Tássio Ferenzini Martins Sirqueira, Marcos Alexandre Miguel, Humberto L. O. Dalpra, Marco Antônio Pereira Araújo + 1 more
'Humberto L. O. Dalpra' 'Marco Antônio Pereira Araújo' 'José David'] The experimental evaluation of the methods and concepts covered in software engineering has been increasingly valued. This value indicates the constant search for new forms of assessment and validation of the results obtained in Software Engineering…
Authors not listed
High-quality data preprocessing is essential for untargeted metabolomics experiments, where increasing dataset scale and complexity demand adaptable, robust, and reproducible software solutions. Modern preprocessing tools must evolve to integrate seamlessly with downstream analysis platforms, ensuring efficient and…
Dimitar Georgiev, Simon Vilms Pedersen, Ruoxiao Xie, Álvaro Fernández-Galiana + 2 more
Raman spectroscopy is a non-destructive and label-free chemical analysis technique, which plays a key role in the analysis and discovery cycle of various branches of science. Nonetheless, progress in Raman spectroscopic analysis is still impeded by the lack of software, methodological and data standardisation, and the…
Robert Reischke
Confidence contours in parameter space are a helpful tool to compare and classify determined estimators. For more intricate parameter estimations of non-linear nature or complex error structures, the procedure of determining confidence contours is a statistically complex task. For polymer chemists, such particular…