Results 91 to 100 of about 2,537,006 (253)
Perception of Water Quality in Rural/Agricultural Areas of Machakel District, North West Ethiopia
International Journal of Agriculture System, 2018 Potable water with high quality is a basic requirement for human wellbeing. However, the perceptions on the quality of potable water sources and associated factors influencing the later have not been well studied.
Mulugeta Temesgen Bayeh +1 more
doaj +1 more source
Accuracy of logistic models and receiver operating characteristic curves [PDF]
The accuracy of prediction is a commonly studied topic in modern statistics. The performance of a predictor is becoming increasingly more important as real-life decisions axe made on the basis of prediction.
Corbett, Philip
core
American Journal of Industrial Medicine, EarlyView.ABSTRACT Background Exposures to human pathogens and toxins in licensed facilities in Canada have been monitored by a federal surveillance system since 2015, yet the affected persons (APs) in these incidents remain uncharacterized. This study comprehensively describes APs, highlighting sector‐specific patterns and trends over time.
Emily F. Tran +4 more
wiley +1 more source
Multinomial Logit Models with Implicit Variable Selection [PDF]
, 2010 Multinomial logit models which are most commonly used for the modeling of unordered multi-category responses are typically restricted to the use of few predictors. In the high-dimensional case maximum likelihood estimates frequently do not exist. In this
Tutz, Gerhard, Zahid, Faisal Maqbool
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
Robust ordinal logistic regression
, 2010 Logistic regression is a widely used tool designed to model the success probability of a Bernoulli random variable depending on some explanatory variables.
Croux, Christophe +2 more
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Rethinking Support Allocation: Mental Health and Patterns of Homelessness Support Utilisation
Australian Journal of Social Issues, EarlyView.ABSTRACT Homelessness support agencies face substantial puzzles in allocating scarce resources: who gets access and who stays on the waitlist? This paper examines the influence of mental illness on the patterns of consuming non‐clinical homelessness support by persons experiencing homelessness and at risk.
Godwin Kavaarpuo, Kathryn Daley
wiley +1 more source
Journal of Statistical Software, 2011 Logistic regression provides a flexible framework for detecting various types of differential item functioning (DIF). Previous efforts extended the framework by using item response theory (IRT) based trait scores, and by employing an iterative process ...
Seung W. Choi +2 more
doaj
Robust Logistic Regression for Insurance Risk Classification [PDF]
Risk classification is an important part of the actuarial process in Insurance companies. It allows for the underwriting of the best risks, through an appropriate choice of classification variables, and helps set fair premiums in rate-making.
José Garrido, Esteban Flores
core
Multilevel mixed effect ordinal logistic regression.
Multilevel mixed effect ordinal logistic regression.
Samson Shumba (13124416) +5 more
core +1 more source