Results 101 to 110 of about 2,537,006 (253)
Comparison of Ordinal Logistic Regression and Geographically Weighted Ordinal Logistic Regression (GWOLR) in Predicting Stunting Prevalence among Indonesian Toddlers [PDF]
Ordinal logistic regression is a type of logistic regression used for response variables with an ordinal scale, containing two or more categories with levels between them.
Fitrianto, Anwar +4 more
core +1 more source
Cohesion Without Consensus: Attitudinal Profiles of Social Cohesion in Australia
ABSTRACT Headline indicators of social cohesion in Australia have remained stable in recent years despite rising political polarisation and declining institutional trust worldwide. Yet recent protests and incidents of ethnically and politically motivated violence suggest that cohesion may be under strain. If cohesion is understood not as the pursuit of
John van Kooy
wiley +1 more source
Application of the Ordinal Logistic Regression Models in Quality of life Studies
Background & Objectives: Due to the increasing tendency to measure the quality of life in recent years and the extensive quality of life questionnaires, it is important to determine the appropriate method of analyzing data derived from these studies. The
Z Asadollahi, P Jafari, M Rezaeian
doaj
Comparing Binary and Ordered Logistic Regression in Studies of Education and Learner Behavior
This study compares the effectiveness of binary logistic regression and ordered logistic regression in analyzing office workers’ readiness to pursue postgraduate education.
Duy Ngoc Nguyen, Hoa Thanh Phan Le
doaj +1 more source
A Comparison of Frailty Indices in Predicting Postoperative Outcomes After Endoscopic Sinus Surgery
ABSTRACT Objective To compare the discriminatory performance of the Risk Analysis Index (RAI) and modified Frailty Index‐5 (mFI‐5) in predicting postoperative outcomes following endoscopic sinus surgery (ESS). Study Design Retrospective cohort study. Methods Adult ESS patients were identified from the ACS‐NSQIP database (2005–2020).
Akshay Warrier +6 more
wiley +1 more source
Introduction: Accurate triage is essential in emergency departments operating under high demand and constrained resources. Objective: To develop and evaluate an ordinal logistic regression model to predict five-level triage acuity using variables ...
Daniel Becerra Pabón +2 more
doaj
Objective This study assessed the efficacy of thrombectomy in acute ischemic stroke because of large‐vessel occlusion (AIS‐LVO) initially admitted to primary stroke centers (PSC) and subsequently transferred to a comprehensive stroke center (CSC), with a large ischemic core identified before transfer.
Pierre Seners +258 more
wiley +1 more source
Ordinal regression based on learning vector quantization
Recently, ordinal regression, which predicts categories of ordinal scale, has received considerable attention. In this paper, we propose a new approach to solve ordinal regression problems within the learning vector quantization framework. It extends the
Tang FZ(唐凤珍), Tio, Peter
core
Abstract The preauricular sulcus has long been debated as a pelvic feature variably attributed to obstetric stress, ligamentous traction, and broader biomechanical processes. To clarify its determinants, we analyzed 409 adult individuals from three archeological and one early modern skeletal collection from the Iberian Peninsula, integrating graded ...
Rebeca García‐González +5 more
wiley +1 more source
elrm: Software Implementing Exact-Like Inference for Logistic Regression Models [PDF]
Exact inference is based on the conditional distribution of the sufficient statistics for the parameters of interest given the observed values for the remaining sufficient statistics.
Brad McNeney, David Zamar, Jinko Graham
core

