Results 91 to 100 of about 34,600,335 (260)

Collapsing or Not? A Practical Guide to Handling Sparse Responses for Polytomous Items

open access: yesMethodology
In ordinal data analysis, category collapse is the process of combining adjacent response options to create fewer response categories than were originally measured.
Yale Quan, Chun Wang
doaj   +1 more source

Health Promotion Behavior of Chinese International Students in Korea Including Acculturation Factors: A Structural Equation Model

open access: yesAsian Nursing Research, 2016
Purpose: The purpose of this study was to explain the health promotion behavior of Chinese international students in Korea using a structural equation model including acculturation factors.
Sun Jung Kim, RN, PhD   +1 more
doaj   +1 more source

Comparative Evaluation of Hemodiafiltration, Hemoperfusion, and Standard Hemodialysis on Efficacy, Inflammatory Control, Dialysis Adequacy, and Safety in End‐Stage Renal Disease: A Prospective Observational Study

open access: yesTherapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Chronic micro‐inflammation in patients with end‐stage renal disease (ESRD) is a significant driver of cardiovascular complications and diminished quality of life. While standard hemodialysis (SHD) effectively manages small‐molecule clearance, its ability to remove medium‐to‐large uremic toxins—the primary catalysts of systemic ...
Hongwei Zuo   +5 more
wiley   +1 more source

Why Do Bi-Factor Models Outperform Higher-Order g Factor Models? A Network Perspective

open access: yesJournal of Intelligence
Bi-factor models of intelligence tend to outperform higher-order g factor models statistically. The literature provides the following rivalling explanations: (i) the bi-factor model represents or closely approximates the true underlying data-generating ...
Kees-Jan Kan   +4 more
doaj   +1 more source

Assessing model data fit of unidimensional item response theory models in simulated data

open access: yesEducational Research and Reviews, 2014
The pupose of this paper is to give an example of how to assess the model-data fit of unidimensinal IRT models in simulated data. Also, the present research aims to explain the importance of fit and the consequences of misfit by using simulated data sets.
openaire   +1 more source

Testing the fit of the logistic model for matched case-control studies.

open access: yes, 2013
[[abstract]]With numerous statistical packages being easily available to conduct the logistic regression analysis, assessment for the goodness-of-fit in the logistic case-control studies becomes more important in practice. While various methods for model
Li-Ching Chen;Jiun-Yi Wang
core  

Regulatory fit and health behavior [PDF]

open access: yes, 2008
Everyone prefers health to ill-health, though some worry more about ill health than others and for others abstract health concerns seem to pale compared with the prospect of immediate hedonic pleasures.
Oyserman, Daphna   +3 more
core   +1 more source

Safety of Daprodustat for the Treatment of Chronic Kidney Disease Anemia: Final Analysis of a Multicenter Postmarketing Surveillance Study in Japan

open access: yesTherapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Introduction This final analysis of a multicenter, prospective postmarketing surveillance study evaluated the safety of daprodustat in patients with chronic kidney disease anemia in routine clinical practice in Japan. Methods Patients who initiated daprodustat between September 2020 and July 2022 were registered.
Tadao Akizawa   +7 more
wiley   +1 more source

Scale-Based Gaussian Coverings: Combining Intra and Inter Mixture Models in Image Segmentation

open access: yesEntropy, 2009
By a “covering” we mean a Gaussian mixture model fit to observed data. Approximations of the Bayes factor can be availed of to judge model fit to the data within a given Gaussian mixture model.
Jean-Luc Starck   +2 more
doaj   +1 more source

Fit-Viability Model Examination of e-Health Solutions

open access: yes, 2018
Fit-Viability Model Examination of e-Health ...
Nilmini Wickramasinghe (12642397)   +4 more
core  

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