Results 41 to 50 of about 1,323,956 (316)

Analysis of logistic growth models [PDF]

open access: yes, 2001
A variety of growth curves have been developed to model both unpredated, intraspecific population dynamics and more general biological growth. Most successful predictive models are shown to be based on extended forms of the classical Verhulst logistic ...
Tsoularis, A.
core  

Logistic response models with item interactions [PDF]

open access: yes, 2011
Items that are clustered according to shared content may violate the principle of conditional independence commonly used in item response theory.
Revuelta Menéndez, Javier
core   +2 more sources

Sickle Cell Disease Is an Inherent Risk for Asthma in a Sibling Comparison Study

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction Sickle cell disease (SCD) and asthma share a complex relationship. Although estimates vary, asthma prevalence in children with SCD is believed to be comparable to or higher than the general population. Determining whether SCD confers an increased risk for asthma remains challenging due to overlapping symptoms and the ...
Suhei C. Zuleta De Bernardis   +9 more
wiley   +1 more source

Predictive Logistic Models for Off-Street Parking Policy

open access: yesARO-The Scientific Journal of Koya University
The land in city centers is typically used for commercial and industrial purposes, leading to increased traffic congestion. To promote more efficient, sustainable, and accessible land use in city centers, it is necessary to manage incoming traffic flow ...
Nahla H. Alaswadko
doaj   +1 more source

Prediction of in-hospital adverse clinical outcomes in patients with pulmonary thromboembolism, machine learning based models

open access: yesFrontiers in Cardiovascular Medicine, 2023
BackgroundPulmonary thromboembolism (PE) is the third leading cause of cardiovascular events. The conventional modeling methods and severity risk scores lack multiple laboratories, paraclinical and imaging data.
Yaser Jenab   +5 more
doaj   +1 more source

Relation of Adverse Childhood Experiences to Clinical and Patient‐Reported Outcomes for Adults With Sickle Cell Disease: A Registry Study

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Adverse childhood experiences (ACEs) are stressful or traumatic events prior to age 18 that are known to have a lasting impact on individuals’ health and well‐being. There is a gap in understanding the relationship between ACEs and Other Life Stressors and health status for adults with sickle cell disease (SCD).
Marsha Treadwell   +8 more
wiley   +1 more source

Identifiability of multivariate logistic mixture models [PDF]

open access: yes, 2014
Mixture models have been widely used in modeling of continuous observations. For the possibility to estimate the parameters of a mixture model consistently on the basis of observations from the mixture, identifiability is a necessary condition.
Han, JiQing, Shi, ZiQiang, Zheng, TieRan
core  

The MedSupport Multilevel Intervention to Enhance Support for Pediatric Medication Adherence: Development and Feasibility Testing

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction We developed MedSupport, a multilevel medication adherence intervention designed to address root barriers to medication adherence. This study sought to explore the feasibility and acceptability of the MedSupport intervention strategies to support a future full‐scale randomized controlled trial.
Elizabeth G. Bouchard   +8 more
wiley   +1 more source

Modelo preditivo ao abandono do tratamento da tuberculose

open access: yesSaúde em Debate
Objetivou-se construir um modelo preditivo tomando como variáveis explicativas as características dos indivíduos com tuberculose para definir o tratamento mais adequado. Pesquisa do tipo observacional descritiva, de abordagem quantitativa.
Eveline de Almeida Silva   +2 more
doaj   +1 more source

A Method for Compressing Parameters in Bayesian Models with Application to Logistic Sequence Prediction Models

open access: yes, 2007
Bayesian classification and regression with high order interactions is largely infeasible because Markov chain Monte Carlo (MCMC) would need to be applied with a great many parameters, whose number increases rapidly with the order.
Li, Longhai, Neal, Radford M.
core   +2 more sources

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