Results 21 to 30 of about 5,700,897 (319)
Common pitfalls in statistical analysis: The perils of multiple testing
Perspectives in Clinical Research, 2016 Multiple testing refers to situations where a dataset is subjected to statistical testing multiple times - either at multiple time-points or through multiple subgroups or for multiple end-points. This amplifies the probability of a false-positive finding.
Priya Ranganathan +2 more
doaj +1 more source
Nonparametric statistical tests for the continuous data: the basic concept and the practical use [PDF]
Korean Journal of Anesthesiology, 2016 Conventional statistical tests are usually called parametric tests. Parametric tests are used more frequently than nonparametric tests in many medical articles, because most of the medical researchers are familiar with and the statistical software ...
Francis Sahngun Nahm
doaj +1 more source
Frontiers in Neurology, 2017 We present the first quantitative analysis of atypical teratoid rhabdoid tumors (ATRT) in adults, including two patients from our own institutions. These are of interest as one occurred during pregnancy and one is a long-term survivor.
Christopher Dardis +13 more
doaj +1 more source
APSS - Software support for decision making in statistical process control [PDF]
, 2018 DOI nefunkční (7.1.2019)Purpose: SPC can be defined as the problem solving process incorporating many separate decisions including selection of the control chart based on the verification of the data presumptions.
Noskievičová, Darja
core +1 more source
Interpretation and identification of within-unit and cross-sectional variation in panel data models
PLoS ONE, 2020 While fixed effects (FE) models are often employed to address potential omitted variables, we argue that these models’ real utility is in isolating a particular dimension of variance from panel data for analysis.
J. Kropko, R. Kubinec
semanticscholar +1 more source
Is the Bland-Altman plot method useful without inferences for accuracy, precision, and agreement? [PDF]
Revista de Saúde PúblicaOBJECTIVE This study aims to propose a comprehensive alternative to the Bland-Altman plot method, addressing its limitations and providing a statistical framework for evaluating the equivalences of measurement techniques.
Paulo Sergio Panse Silveira +2 more
doaj +1 more source
Implications of Hadron Collider Observables on Parton Distribution Function Uncertainties [PDF]
, 1998 Standard parton distribution function sets do not have rigorously quantified uncertainties. In recent years it has become apparent that these uncertainties play an important role in the interpretation of hadron collider data.
A. C. Benvenuti +14 more
core +2 more sources
Data transformation: a focus on the interpretation
Korean Journal of Anesthesiology, 2020 Several assumptions such as normality, linear relationship, and homoscedasticity are frequently required in parametric statistical analysis methods. Data collected from the clinical situation or experiments often violate these assumptions.
Dong Kyu Lee
semanticscholar +1 more source
Understanding sensitivity, specificity and predictive values [PDF]
Vojnosanitetski Pregled, 2014 nema
Stojanović Miodrag +6 more
doaj +1 more source
Nucleic Acids Res., 2017 The widespread application of next-generation sequencing technologies has revolutionized microbiome research by enabling high-throughput profiling of the genetic contents of microbial communities.
A. Dhariwal +5 more
semanticscholar +1 more source