Results 121 to 130 of about 109,915 (302)
Results from multiple ordinal logistic regression.
, 2020 Results from multiple ordinal logistic regression.
José Antonio Ramírez-Hernández (8384238) +4 more
core +1 more source
Sociodemographic Factors Associated with Hours Worked by Primary Carers in Australia
Australian Journal of Social Issues, EarlyView.ABSTRACT Primary caregivers constitute a major unpaid workforce in Australia. The aim of this study was to determine the sociodemographic factors that are associated with carer workloads. Multinomial logistic regression modelling was applied to the nation‐wide Australian Government survey.
Andrew J. Hamilton
wiley +1 more source
Preoperative prediction of gastric cancer T-staging based on ordinal regression models
InformatikaObjectives. Study of ordinal regressions presented via the set of binary logistic regressions and their application in clinical practice for T-staging of gastric cancer.Methods.
O. V. Krasko +2 more
doaj +1 more source
A Comparison of Frailty Indices in Predicting Postoperative Outcomes After Endoscopic Sinus Surgery
International Forum of Allergy &Rhinology, EarlyView.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
Gaussian Processes for Ordinal Regression
, 2005 We present a probabilistic kernel approach to ordinal regression based on Gaussian processes. A threshold model that generalizes the probit function is used as the likelihood function for ordinal variables.
Wei Chu, Zoubin Ghahramani
core
A neural network approach to ordinal regression
, 2008 Ordinal regression is an important type of learning, which has properties of both classification and regression. Here we describe an effective approach to adapt a traditional neural network to learn ordinal categories. Our approach is a generalization of
Zheng Wang +5 more
core +1 more source
A new Patient‐Reported Outcome Scale to assess autoimmune Encephalitis: PROSE
Annals of Neurology, EarlyView.Objective Autoimmune encephalitis (AIE) has long‐lasting effects. Generic clinical assessment‐scales insufficiently capture disease‐specific sequelae. Patient‐reported outcome measures (PROMs) assess outcomes important to patients, ensuring relevance in the clinic and trials.
Juliette Brenner +24 more
wiley +1 more source
An Automated TW3-RUS Bone Age Assessment Method with Ordinal Regression-Based Determination of Skeletal Maturity. [PDF]
J Digit Imaging, 2023 Zhang D +8 more
europepmc +1 more source
The Anatomical Record, EarlyView.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
Pattern of weight gain in pregnant women in slum areas of Hamadan using multilevel ordinal regression. [PDF]
BMC Public Health, 2023 Manoochehri Z +3 more
europepmc +1 more source