Results 61 to 70 of about 2,041,133 (244)

Anorectal Dysfunction in Systemic Sclerosis: Clinical Phenotypes and Functional Patterns

Arthritis Care &Research, EarlyView.
Objective The aim of this study was to characterize specific physiologic defects in anorectal dysfunction in systemic sclerosis (SSc) using anorectal manometry (ARM), evaluate associations with gastrointestinal (GI) and extraintestinal clinical phenotypes, and explore potential serologic markers for risk stratification.
Timothy Kaniecki, Alireza Amindarolzarbi, Tsion Abdi, John Clarke, Michael Hughes, Ami A. Shah, Zsuzsanna H. McMahan   +6 more
wiley   +1 more source

Nonparametric Statistical Thresholding for Sparse Magnetoencephalography Source Reconstructions

Frontiers in Neuroscience, 2012
Uncovering brain activity from MEG data requires solving an ill-posed inverse problem, greatly confounded by noise, interference, and correlated sources.
Julia Parsons Owen, Julia Parsons Owen, Kensuke eSekihara, Srikantan S. Nagarajan, Srikantan S. Nagarajan   +4 more
doaj   +1 more source

Smart material actuators as a contributor for IoT-based smart applications and systems: Analyzing prototype and process measurement data of shape memory actuators for reliability and risk prognosis

Journal of Advanced Mechanical Design, Systems, and Manufacturing, 2020
In times of smart products and systems, the Internet of Things (IoT) plays an increasingly important role. IoT combines the digital world (internet) with the physical world (sensors, actuators, robots, smartphones, connected cars etc.).
Philipp HEß, Stefan BRACKE
doaj   +1 more source

Powerful nonparametric statistics to compare k independent ROC curves

, 2011
The authors deal with the problem of comparing receiver operating characteristic (ROC) curves from independent samples. From a nonparametric approach, they propose and study three different statistics.
Corral Blanco, Norberto Octavio, Martínez Camblor, Pablo, Carleos Artime, Carlos Enrique, Pablo Martínez-Camblor, Carlos Carleos, Norberto Corral   +5 more
core   +1 more source

Real‐World Effectiveness and Safety of Secukinumab in Giant Cell Arteritis: An Italian Multicenter Cohort Study

Arthritis Care &Research, EarlyView.
Objective The objective of this study was to evaluate the real‐world effectiveness and safety of secukinumab in patients with giant cell arteritis (GCA). Methods This multicenter retrospective study included patients with GCA who received secukinumab at 14 Italian centers with at least six months of follow‐up.
Luca Iorio, Federica Davanzo, Caterina Ricordi, Milena Bond, Ruggiero Mascolo, Jacopo Mora, Alessandro Tomelleri, Angelo Fassio, Francesca Cuzzocrea, Sara Monti, Edoardo Conticini, Fabiola Atzeni, Paolo Delvino, Carlotta Nannini, Augusta Ortolan, Francesco Pollastri, Ester Vivaldelli, Chiara Marvisi, Paola Toniati, Antonio Brucato, Alessandra Milanesi, Francesca Regola, Enrico Tombetti, Lorenzo Dagna, Roberta Ramonda, Christian Dejaco, Luca Quartuccio, Carlo Salvarani, Roberto Padoan   +28 more
wiley   +1 more source

Nonparametric statistics for social and behavioral sciences

, 2013
Introduction to Research in Social and Behavioral SciencesBasic Principles of ResearchPlanning for ResearchTypes of Research Designs Sampling ProceduresValidity and Reliability of Measurement InstrumentsSteps of the Research Process Introduction to ...
Kraska-MIller, M, M. Kraska-MIller
core   +1 more source

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

Advanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt, Varma Kvvssn, Hossein Laieghi, Zia Uddin, Peyman Ansari, E. Kıvanç Sadak, Can Barış Toprak, Hüseyin Kızıl, Enrico Salvati   +8 more
wiley   +1 more source

Nonparametric statistical analysis of system resilience migration and application for electric distribution structures

Resilient Cities and Structures
This paper proposes a set of nonparametric statistical tools for analyzing the system resilience of civil structures and infrastructure and its migration upon changes in critical system parameters.
ZhiQiang Chen, Prativa Sharma
doaj   +1 more source

Rank tests [PDF]

Ekonomski Signali, 2017
Rank tests are the most important methods of nonparametric statistics. In the introductory part, there are discussions of parametric and nonparametric metods and as a result of those discussions it is established that the rank tests are one of the most ...
Timotijević Marjana
doaj  

Parameters behind "nonparametric" statistics: Kendall's tau,Somers' D and median differences [PDF]

So-called "nonparametric" statistical methods are often in fact based on population parameters, which can be estimated (with confidence limits) using the corresponding sample statistics.
Roger Newson
core