Results 41 to 50 of about 23,657,443 (332)
Bayesian model selection in logistic regression for the detection of adverse drug reactions [PDF]
, 2015 Motivation: Spontaneous adverse event reports have a high potential for detecting adverse drug reactions. However, due to their dimension, exploring such databases requires statistical methods.
Marbac, Matthieu +2 more
core +2 more sources
Generalized logistic model with time-varying parameters to analyze COVID-19 outbreak data
AIMS MathematicsAccurately estimating the number of infections that actually occur in the earliest phases of an outbreak and predicting the number of new cases per day in various countries is crucial for real-time monitoring of COVID-19 transmission.
Said Gounane +4 more
doaj +1 more source
Scientia Agricola, 2011 Growth functions with upper horizontal asymptote do not have a maximum point, but we frequently question from which point growth can be considered practically constant, that is, from which point the curve is sufficiently close to its asymptote, so that ...
Martha Maria Mischan +2 more
doaj +1 more source
Predictive Value of Odor Identification for Incident Dementia: The Shanghai Aging Study
Frontiers in Aging Neuroscience, 2020 ObjectiveThis study aimed to evaluate the value of odors in the olfactory identification (OI) test and other known risk factors for predicting incident dementia in the prospective Shanghai Aging Study.MethodsAt baseline, OI was assessed using the Sniffin’
Ding Ding +10 more
doaj +1 more source
Applied Sciences, 2018 The objective of this research is introduce a new machine learning ensemble approach that is a hybridization of Bagging ensemble (BE) and Logistic Model Trees (LMTree), named as BE-LMtree, for improving the performance of the landslide susceptibility ...
X. Truong +7 more
semanticscholar +1 more source
Deriving Dynamic Subsidence of Coal Mining Areas Using InSAR and Logistic Model
Remote Sensing, 2017 The seasonal variation of land cover and the large deformation gradients in coal mining areas often give rise to severe temporal and geometrical decorrelation in interferometric synthetic aperture radar (InSAR) interferograms.
Zefa Yang +5 more
semanticscholar +1 more source
A three-parameter logistic regression model
Statistical Theory and Related Fields, 2021 Dose–response experiments and data analyses are often carried out according to an optimal design under a model assumption. A two-parameter logistic model is often used because of its nice mathematical properties and plausible stochastic response ...
Xiaoli Yu, Shaoting Li, Jiahua Chen
doaj +1 more source
Psi-Caputo Logistic Population Growth Model
Journal of Mathematics, 2021 This article studies modeling of a population growth by logistic equation when the population carrying capacity K tends to infinity. Results are obtained using fractional calculus theories.
Muath Awadalla +2 more
doaj +1 more source
Model Logistic Regression dalam Penentuan Kebijakan Dividen Perusahaan di Indonesia [PDF]
, 2012 This paper investagates dividend policy decision in Indonesian Stock Exchange (IDX) through studying non-financial firms. Panel data were obtained from 1490 non-financial firms over the five year period from 2006 to 2010, where 310 firms pay dividend and
Satmoko, A. (Agung) +1 more
core
A generalized linear mixed model for longitudinal binary data with a marginal logit link function [PDF]
, 2011 Longitudinal studies of a binary outcome are common in the health, social, and behavioral sciences. In general, a feature of random effects logistic regression models for longitudinal binary data is that the marginal functional form, when integrated over
Fitzmaurice, Garrett M. +6 more
core +3 more sources