Published in Zeitschrift fur Rheumatologie
In the journal Nature, under the headline "Retire statistical significance", Amrhein et al. called for the concept of statistical significance to be abolished. This appeal, which was signed by about 800 other researchers, triggered a controversial discussion. One reason for the deliberately provocative call is the scientific practice in which the c...
Published in Journal of pediatric urology
The plethora of scientific data and explosion of published materials often leave it challenging to develop a clear and concise overview of many scientific topics. A number of factors may contribute to our misunderstanding. It is the focus of this article to describe primary reasons for failure to establish a clear, factual and functional understand...
Concerns have been expressed over standards of statistical interpretation. Results with p0.05. Referring to strengths of association in “study participants” gives them gravitas, which may help to avoid this. This contrasts with the common practice of focusing on imprecision, by referring to the “sample” and to “point estimates”. Unlike formal stati...
Published in F1000Research
The ccbmlib Python package is a collection of modules for modeling similarity value distributions based on Tanimoto coefficients for fingerprints available in RDKit. It can be used to assess the statistical significance of Tanimoto coefficients and evaluate how molecular similarity is reflected when different fingerprint representations are used. S...
Published in Academic radiology
The purpose of this study was to validate a Bayesian statistical model of item response theory (IRT). IRT was used to evaluate a new modality (temporal subtraction, TS) in observer studies of radiologists, compared with a conventional modality (computed tomography). From previously published papers, we obtained two datasets of clinical observer stu...
Null hypothesis significance testing (NHST) has long been a mainstay of scientific research, more in some scientific fields than others. It persists despite numerous calls across multiple scientific disciplines to abandon or at least modify the practice. In 2016, the American Statistical Association issued a statement decrying the use of the “brigh...
Published in Frontiers in psychology
Turmoil has engulfed psychological science. Causes and consequences of the reproducibility crisis are in dispute. With the hope of addressing some of its aspects, Bayesian methods are gaining increasing attention in psychological science. Some of their advantages, as opposed to the frequentist framework, are the ability to describe parameters in pr...
Published in Biology Bulletin
AbstractIn 2017, a group of the leading mathematical statisticians published a paper-manifesto having an extremely simple sense: the common critical level of p-values should be decreased by an order of magnitude (0.005 instead of 0.05) (Benjamin, et al., 2017). In this review, the arguments of proponents and opponents of this proposal are discussed...
Cet article concerne la modélisation de données incertaines à partir de mesures répétées mais non-reproductibles. Différentes approches issues des théories modernes de l'incertain sont considérées. Plus précisément, l'article s'intéresse à diverses extensions de tests statistiques non-paramétriques aux données incertaines. Dans ce travail prélimina...
Software packages usually report the results of statistical tests using p-values. Users often interpret these by comparing them to standard thresholds, e.g. 0.1%, 1% and 5%, which is sometimes reinforced by a star rating (***, **, *). We consider an arbitrary statistical test whose p-value p is not available explicitly, but can be approximated by M...
