Passenger satisfaction with railway station service quality: An Ordinal Logistic Regression approach
The objective of this paper is to examine the service quality dimensions and passenger characteristics and its effect on passenger’s satisfaction on railway station. Jember Railway Station is a survey location where the questionnaires were spread.
Kriswardhana Willy +2 more
doaj +1 more source
INFLUENCE OF STRESS ON BLOOD PRESSURE, HEART RATE, LEVELS OF SALIVARY AMYLASE AND SKIN TEMPERATURE
Productivity is the key to improved standard of living of a Country. Productivity growth represents the key to economic success. In this perspective we could increase productivity, one through human resources productivity that represents a potential ...
Sylvie Indah Kartika Sari
doaj +1 more source
Regression models for analyzing radiological visual grading studies – an empirical comparison [PDF]
Background: For optimizing and evaluating image quality in medical imaging, one can use visual grading experiments, where observers rate some aspect of image quality on an ordinal scale.
Saffari, S. Ehsan +3 more
core +2 more sources
Modelling of repeated ordered measurements by isotonic sequential regression [PDF]
The paper introduces a simple model for repeated observations of an ordered categorical response variable which is isotonic over time. It is assumed that the measurements represent an irreversible process such that the response at time t is never lower ...
Tutz, Gerhard
core +1 more source
ABSTRACT Background Apolipoprotein ε4 (APOE ε4) is a potent genetic risk factor for Alzheimer's disease (AD). However, its role in cerebral small vessel disease (CSVD) remains unclear. Given the clinical and pathological similarities between CSVD and AD, this study aimed to investigate the associations of APOE ε4 gene dosage with cognitive function and
Tingru Jin +6 more
wiley +1 more source
Genomic-Enabled Prediction of Ordinal Data with Bayesian Logistic Ordinal Regression
AbstractMost genomic-enabled prediction models developed so far assume that the response variable is continuous and normally distributed. The exception is the probit model, developed for ordered categorical phenotypes. In statistical applications, because of the easy implementation of the Bayesian probit ordinal regression (BPOR) model, Bayesian ...
Montesinos-López, Osval A. +4 more
openaire +2 more sources
ABSTRACT Aims This study aimed to explore the relationship between stress‐induced hyperglycemia (SIH) and in‐hospital medical complications in patients with acute stroke. Methods We enrolled 865,765 patients with acute stroke from the Chinese Stroke Center Alliance cohort.
Xintong Song +6 more
wiley +1 more source
ENSEMBLE BAGGING WITH ORDINAL LOGISTIC REGRESSION TO CLASSIFY TODDLER NUTRITIONAL STATUS
One problem in classifying stunting data is that the data used does not have a balanced proportion. This study aims to apply the logistic regression classification method with ordinal scale response variables to overcome class imbalance through the ...
Luthfia Hanun Yuli Arini +3 more
doaj +1 more source
Frailty Exacerbates Disability in Progressive Multiple Sclerosis
ABSTRACT Background To evaluate frailty in severe progressive multiple sclerosis (PMS) and to investigate the underlying mechanisms. Methods This prospective, cross‐sectional, multicenter study enrolled a late severe PMS group requiring skilled nursing (n = 53) and an age, sex, and disease duration‐matched control PMS group (n = 53).
Taylor R. Wicks +10 more
wiley +1 more source
Exploring differential item functioning in the SF-36 by demographic, clinical, psychological and social factors in an osteoarthritis population [PDF]
The SF-36 is a very commonly used generic measure of health outcome in osteoarthritis (OA). An important, but frequently overlooked, aspect of validating health outcome measures is to establish if items work in the same way across subgroup of a ...
A Williams +34 more
core +3 more sources

