25 papers · ranked by Valyu relevance
Seongwon Seo, Seoyoung Jeon, Jong K. Ha
Animal experiments are essential to the study of animal nutrition. Because of the large variations among individual animals and ethical and economic constraints, experimental designs and statistical analyses are particularly important in animal experiments. To increase the scientific validity of the results and…
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…
Ilke Coskun Benlidayi
Science and related research activities are always subject to errors. Statistical accuracy is necessary in order to overcome erroneous researching and reporting practices. The present article aimed to review the current literature on statistical errors in clinical medicine articles, and to provide rheumatologists with…
Shraddha Parab, Supriya Bhalerao
Statistical tests are mathematical tools for analyzing quantitative data generated in a research study. The multitude of statistical tests makes a researcher difficult to remember which statistical test to use in which condition. There are various points which one needs to ponder upon while choosing a statistical test.…
Rui Portocarrero Sarmento, Vera L. Costa
The use of statistical software in academia and enterprises has been evolving over the last years. More often than not, students, professors, workers and users in general have all had, at some point, exposure to statistical software. Sometimes, difficulties are felt when dealing with such type of software. Very few…
Henk van Elst
These lecture notes were written with the aim to provide an accessible though technically solid introduction to the logic of systematical analyses of statistical data to undergraduate and to postgraduate students, in particular in the Social Sciences and in Economics. They may also serve as a general reference for the…
Joses Ho, Tayfun Tumkaya, Sameer Aryal, Hyungwon Choi + 1 more
Over the past 75 years, a number of statisticians have advised that the data-analysis method known as null- hypothesis significance testing (NHST) should be deprecated (3; 11). The limitations of NHST have been extensively discussed, with an emerging consensus that current statistical practice in the biological…
Hamidreza Rasouli, Maryam Rezaee, Zahra Danial
Dear Editor, Statistics is a science with many applications in trauma research and several other fields. Prior to conducting research, the study problem must be clearly defined; then, measurement tools for the study variables should be determined, next, data collection instruments as well as survey questionnaires…
R Romano, E Gambale
Statistics has often been misunderstood in Medicine, but it is indispensable knowledge both for the experimenter and the reader. Statistical methods allow to study diseases, patients, and epidemiological events. The modern researcher cannot refuse to know and to use statistics. A deeper understanding is required to…
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…
Greenland, Sander
The study of associations and their causal explanations is a central research activity whose methodology varies tremendously across fields. Even within specialized subfields, comparisons across textbooks and journals reveals that the basics are subject to considerable variation and controversy. This variation is often…
Darlyane TORRES, David NORMANDO
Introduction: The efficiency of clinical procedures is based on practical and theoretical knowledge. Countless daily information is available to the orthodontist, but it is up to this professional to know how to select what really has an impact on clinical practice. Evidence-based orthodontics ends up requiring the…
Roger D. Peng, Stephanie C. Hicks
In 1977 John Tukey described how in exploratory data analysis, data analysts use tools, such as data visualizations, to separate their expectations from what they observe. In contrast to statistical theory, an underappreciated aspect of data analysis is that a data analyst must make decisions by comparing the observed…
Rand R. Wilcox, Guillaume A. Rousselet
There is a vast array of new and improved methods for comparing groups and studying associations that offer the potential for substantially increasing power, providing improved control over the probability of a Type I error, and yielding a deeper and more nuanced understanding of neuroscience data. These new techniques…
Zinan Lu, Jonathan Anns, Yishan Mai, Rou Zhang + 10 more
Data analysis in experimental science mainly relies on null-hypothesis significance testing, despite its well-known limitations. A powerful alternative is estimation statistics, which focuses on effect-size quantification. However, current estimation tools struggle with the complex, multi-group comparisons common in…
Rafael Ramos, Igor Nelson
Gene expression regulates several complex traits observed. In this study, datasets comprising of transcriptome information and clinical traits regarding fat composition and vitals were analyzed via several statistical methods in order to find relations between genes and clinical outcomes. Biological big data is diverse…
Authors not listed
Mechanical agitation (stirring) is a cornerstone of organic synthesis, but has received little scientific attention due to its “obvious” role in facilitating reactions. A very recent study by Huang and coworkers compared the isolated yields in approximately 600 paired stirred and unstirred reactions, across a range of…
M. Carroll Croarkin
For more than 50 years, the Statistical Engineering Division (SED) has been instrumental in the success of a broad spectrum of metrology projects at NBS/NIST. This paper highlights fundamental contributions of NBS/NIST statisticians to statistics and to measurement science and technology. Published methods developed by…
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…
Van N. T. La, Stanley Nicholson, Amna Haneef, Lulu Kang + 1 more
Some data are just underappreciated. Maybe they look different or come from a different background than most other data. Maybe they don't fit neatly into common notions of what data on a ``curve'' should look like. Whatever the case, they are pigeonholed into a restricted role that limits their contributions. But if…
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…
Sarah Placì, Marie Padberg, Hannes Rakoczy, Julia Fischer
Human children and apes are proficient intuitive statisticians when making predictions from populations of objects to randomly drawn samples, whereas monkeys seem not to be. Statistical reasoning can also be investigated in tasks in which the probabilities of different possibilities must be inferred from relative…
Authors not listed
Bonkowski and De Souza [Sol. Stat. Ionics 429, 116967 (2025)] provide a guide for performing molecular dynamics simulations of ion transport, including methods for estimating diffusion coefficients and their uncertainties from mean-squared displacement (MSD) data. The discussion of uncertainty in estimated diffusion…
Roger W. Hoerl, Ronald D. Snee
Several authors, including the American Statistical Association (ASA), have noted the challenges facing statisticians when attacking large, complex and unstructured problems, as opposed to well-defined textbook problems. Clearly, the standard paradigm of selecting the one "correct" statistical method for such problems…
Andrew McCluskey
The use of mathematical transformations to reduce non-linear functions to linear problems, which can be tackled with analytical linear regression, is commonplace in the chemistry curriculum. The linearization procedure, however, assumes an incorrect statistical model for real experimental data; leading to biased…