25 papers · ranked by Valyu relevance
Laura C. Guglielmetti, Fabio Faber-Castell, Lukas Fink, Raphael N. Vuille-dit-Bille
'Raphael N. Vuille-dit-Bille'] Background Statistic scripts are often made by mathematicians and cryptic for clinicians or non-mathematician scientists. Nevertheless, almost all research projects necessitate the application of some statistical tests or at least an understanding thereof. The present review aims on…
Radu V. Craiu, Ruobin Gong, Xiao-Li Meng
This article proposes a set of categories, each one representing a particular distillation of important statistical ideas. Each category is labeled a "sense" because we think of these as essential in helping every statistical mind connect in constructive and insightful ways with statistical theory, methodologies, and…
M. M. Hammad
Statistics provides us with the means to make sense of data, uncover patterns, and draw meaningful conclusions from seemingly complex information. It has applications in a wide range of disciplines, including science, engineering, finance, social sciences, and many others. Meanwhile, Mathematica, a powerful…
Branimir Zauner, Branko Petrinec, Tomislav Bituh, Saša Ceci + 4 more
'Nikola Volarić' 'Aleksandar Včev' 'Andrea Vukoja' 'Dinko Babić'] Title: Abstract We present an overview of the theory of random measurement errors, focusing on the underlying concepts rather than on a strict mathematical formulation. Although the related literature is extensive, one can frequently encounter partly or…
Charles W. Champ, Andrew V. Sills
A case is made that researchers are interested in studying processes. Often the inferences they are interested in making are about the process and its associated population. On other occasions, a researcher may be interested in making an inference about the collection of individuals the process has generated. We will…
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…
Andrew Gelman, Keith O’Rourke, Carlos Alberto De Bragança Pereira, Paulo Canas Rodrigues + 1 more
'Paulo Canas Rodrigues' 'Mark Andrew Gannon'] Amalgamation of evidence in statistics is conducted in several ways. Within a study, multiple observations are combined by averaging, or as factors in a likelihood or prediction algorithm. In multilevel modeling or Bayesian analysis, population or prior information is…
Lakshman Mahto
In the previous chapter we discuss large sample theory that plays very important role in the statistical inference of statistical methods to be discussed here in details. There are various approaches of point estimations such as - (i) maximum likelihood estimation i.e. MLE - (ii) method of moments - (iii) Max a…
Michael Evans
Developments Authors: ['Michael Evans'] One can argue that one of the main roles of the subject of statistics is to characterize what the evidence in collected data says about questions of scientific interest. There are two broad questions that we will refer to as the estimation question and the hypothesis assessment…
Deborah G. Mayo, David Hand
While the common procedure of statistical significance testing and its accompanying concept of p-values have long been surrounded by controversy, renewed concern has been triggered by the replication crisis in science. Many blame statistical significance tests themselves, and some regard them as sufficiently damaging…
Won-Seok Choi
A testing method to identify statistically significant differences by comparing the significance level and the probability value based on the Null Hypothesis Significance Test (NHST) has been used in food research. However, problems with this testing method have been discussed. Several alternatives to the NHST and the…
Theo Desachy, Marc Thevenet, Samuel Garcia, Anistasha Lightning + 3 more
Studies with low statistical power reduce the probability of detecting true effects and often lead to overestimated effect sizes, undermining the reproducibility of scientific results. While several free statistical software tools are available for calculating statistical power, they often do not account for the…
Nicolas Meyer, Stefanos Bonovas
Almost all publications in biomedical literature have employed statistical tests, with p-values being considered of particular importance in the assessment of the presence of a link between two variables. However, these tests and p-values have been the subject of considerable criticism. It may appear paradoxical that…
Per Lytsy, Mikael Hartman, Ronnie Pingel
Of the 169 persons who agreed to participate, 139 (75 doctoral students and 64 statisticians) responded to the two outcome questions, making the overall response rate of randomised participants as 82.2%. There were more women in the doctoral student group, whereas there were more men in the group of statisticians (male…
Md Kawsar Khan, Donald James McLean
Statistical analysis and data visualisation are integral parts of science communication. One of the major issues in current data analysis practice is an over-dependency on – and misuse of – p-values. Researchers have been advocating for the estimation and reporting of effect sizes for quantitative research to enhance…
Authors not listed
Diversity and properties of ring systems contained in small molecules are of high interest for applications such as drug discovery or material sciences. In the present work we extract, analyse and classify ring systems found in small molecule compounds of open access databases such as PubChem, ChEMBL, DrugCentral…
Alexander V. Konopatov, Yuli V. Shidlovsky, Alexander A. Shtil, Oleg V. Bylino
The analysis of lifespan and ageing involves a variety of calculations based on survival data. One of these is the comparison of survival curves. However, inspection of survival curves provides little information about the frequency of phenotypes within samples. Here we propose to divide the distribution into intervals…
Authors not listed
Sequence is the critical determinant of macromolecular function, yet current polymer design approaches often optimize monomer composition and ratios while ignoring sequence. This creates poorly defined design spaces for active learning that miss the vast combinatorial landscape of sequence possibilities. We introduce…
John P. Veillette, Howard C. Nusbaum
Much research in the behavioral sciences aims to characterize the “typical” person. A statistically significant group-averaged effect size is often interpreted as evidence that the typical person shows an effect, but that is only true under certain distributional assumptions for which explicit evidence is rarely…
Conrad Hübler
A novel application to determine stability constants from supramolecular titration experiments is presented. The focus lies on NMR titration and ITC experiments for pure 1:1 systems, as well as mixed 2:1/1:1, 1:1/1:2 and 2:1/1:1/1:2 systems. SupraFit provides global and local fitting and a global search tool.…
Jing Xu, Siyu Wei, Junxian Tao, Chen Sun + 7 more
P-abuse is serious in difference identification analysis of data. How to avoid P-abuse is a huge challenge. Here, we evolve P-value (a single value) to P-Process (a global landscape of P-values under different sample size) to help researchers correctly recognize and use p-value. We observed -ln(P-Process) after…
Lorenzo Ciccione, Mathias Sablé-Meyer, Esther Boissin, Mathilde Josserand + 3 more
Data plots are widely used in science, journalism and politics, since they efficiently allow to depict a large amount of information. Graphicacy, the ability to understand graphs, thus became a fundamental cultural skill. Here, we introduce a new measure of graphicacy that assesses the ability to detect a trend in…
David Gerard
Hardy-Weinberg proportions (HWP) are often explored to evaluate the assumption of random mating. However, in autopolyploids, organisms with more than two sets of homologous chromo-somes, HWP and random mating are different hypotheses that require different statistical testing approaches. Currently, the only available…
Amelia Carolina Sparavigna
Previous studies (Sparavigna, 2023) have demonstrated the Tsallis q-Gaussian functions suitable for the analysis of Raman spectra. Here we consider two asymmetric forms of them, with the aim of further improving the fitting of Raman spectra. The first asymmetric form, that we are here proposing for the first time, is a…
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…