Results 131 to 140 of about 617,011 (320)

Development of a personalized visualization and analysis tool to improve clinical care in complex multisystem diseases with application to scleroderma

Arthritis Care &Research, Accepted Article.
Background In complex diseases, it is challenging to assess a patient's disease state, trajectory, treatment exposures, and risk of multiple outcomes simultaneously, efficiently and at the point of care. Methods We developed an interactive patient‐level data visualization and analysis tool (VAT) that automates illustration of a scleroderma patient's ...
Ji Soo Kim, John Scott, Lauren Fisher, Lauren N. Smith, Willie Stewart, Adrianne Woods, Rob Smithwright, Diane Koher, Parastoo Aslanbeik, Aalok B. Shah, Brad Tibbils, Samantha I. Pitts, Ayse P. Gurses, Yushi Yang, Ana‐Maria Orbai, Antony Rosen, Laura K. Hummers, Scott L. Zeger, Ami A. Shah   +18 more
wiley   +1 more source

Improved confidence interval estimation of the population standard deviation using ranked set sampling: A simulation study

Journal of Biostatistics and Epidemiology, 2018
Background & Aim: The sample standard deviation S is the common point estimator of σ, but S is sensitive to the presence of outliers and may not be an efficient estimator of σ in skewed and leptokurtic distributions.
Ahmed Najeeb Albatineh, Meredith L Wilcox, Bashar Zogheib, Golam B.M. Kibria   +3 more
doaj  

Dependence-robust confidence intervals for capture-recapture surveys

, 2020
Jinghao Sun, Luk Van Baelen, Els Plettinckx, Forrest W. Crawford   +3 more
openalex   +2 more sources

Hydroxychloroquine Associated with Lower Glomerular Filtration Rate Decline in Lupus Nephritis

Arthritis Care &Research, Accepted Article.
Background Hydroxychloroquine (HCQ) protects kidney function in lupus nephritis (LN) by preventing flares, yet some cohort studies show no significant benefit in kidney function with HCQ. Clarifying these conflicting findings by showing early and long‐term benefits of HCQ on kidney function preservation is critical. Therefore, we analyzed data from our
Shivani Garg, Brad Rovin, Brad C. Astor, Tripti Singh, Fauzia Hollnagel, Megan Kuik, Lexie Kolton, Callie Saric, S. Sam Lim, Christie M. Bartels   +9 more
wiley   +1 more source

LIN28B Promotes Cancer Cell Dissemination and Angiogenesis

Advanced Biology, EarlyView.
Children diagnosed with high‐risk neuroblastoma have a 5‐year event‐free survival rate of less than 50% and poor outcomes after recurrence. Deregulation of the LIN28B oncogene can be addressed in these patients. Upregulation of LIN28B is shown to support the metastatic cascade.
Diana Corallo, Sara Menegazzo, Marcella Pantile, Silvia Bresolin, Carlo Zanon, Alessandro Davini, Massimiliano Mazzone, Alessandra Biffi, Sanja Aveic   +8 more
wiley   +1 more source

Confidence Regions for Robust Regression [PDF]

This paper describes the results of a Monte Carlo study of certain aspects of robust regression confidence region estimation for linear models with one, five, and seven parameters.
Roy E. Welsch
core  

PRM43 Robustness of Confidence Intervals for Rare Events [PDF]

Value in Health, 2012
Z. Su, Aaron B. Mendelsohn, J. Kim, E. Gemmen   +3 more
openaire   +2 more sources

Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials

Advanced Engineering Materials, EarlyView.
This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani, Surabhi Nadigotti, Erfan Fatehi, Derek Aranguren van Egmond, Behnam Ashrafi   +4 more
wiley   +1 more source

Incentives to learn calibration: a gender-dependent impact [PDF]

Miscalibration can be defined as the fact that people think that their knowledge is more precise than it actually is. In a typical miscalibration experiment, subjects are asked to provide subjective confidence intervals.
Guillaume Hollard, Marie-pierre Dargnies
core  

Transparent and reliable construction cost prediction using advanced machine learning and explainable AI

Engineering Science and Technology, an International Journal
Accurate construction cost prediction is vital for project management, influencing budgeting, resource allocation, and overall success. This study proposes a comprehensive framework that combines machine learning models, uncertainty quantification ...
Lifei Chen, Changyong Xu, Wei Hong Lim, Abhishek Sharma, Sew Sun Tiang, Kim Soon Chong, El-Sayed M. El-kenawy, Amel Ali Alhussan, Marwa M. Eid, Doaa Sami Khafaga   +9 more
doaj