logistic models

logistic models,

n.pl statistical models that describe the relationship between a qualitative dependent variable (that is, one that can take only certain discrete values, such as the presence or absence of a disease) and an independent variable. A common application is in epidemiology for estimating an individual's risk (probability of contracting a disease) as a function of a given risk factor.
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Using ideal data in which sample size is large (n = 540) and when growth increments less than -3 mm were removed, the probability of obtaining the correct von Bertalanffy, Gompertz, and inverse logistic models were all high (P > 0.
that the debate over the use of logistic models will not be easily
For ordinally scaled dependent variables, nominal logistic models are inferior to ordinal logistic regression models (Agresti, 1984).
Our vision is that direct selling, supported by information technology and mobility, together with the best logistic models available, will continue to be a great distribution channel allowing a close relationship with consumers and delivering a differentiated service, enabling people to be entrepreneurs and achieve personal growth as well as financial gains.
As we see, closed markets are modelled by means of logistic models.
Rather than producing an absolute categorization, the logistic models used in these analyses assign a probabilistic prediction of the event of interest (e.
Introduced by a short communication on the taxonomy of time series, the research and review articles cover such topics as the bushes of normal modes as exact excitations in nonlinear dynamical systems with discrete symmetry, strongly nonlinear wave phenomena in restricted liquids and their mathematical description, surface effects in nonlinear extender systems in terms of slow relaxation and spontaneous emergence of localized coherent modes, phase-field models for non-isothermal transitions in continuum physics, suppression of chaos in coupled chaotic logistic models, and diffusion in the phase space of multidimensional Hamiltonian systems.
Although an idealized logistic model is associated with a constant odds ratio, by including interaction terms logistic models can be fit even when the odds ratio is not constant (Hosmer and Lemeshow 1989).
Logistic models were also constructed by village to determine local predictors of RVFV seropositivity (online Appendix Table 3, available from www.
The results were compared with the estimated critical concentrations obtained by applying logistic models used in previous studies on the present data.
Subsequently, interaction effects were analyzed by logistic models using as outcome the binary variable high apo C-III concentration (h-apo C-III), with the value 1 (and 0 otherwise) assigned to patients with an apo C-III concentration above than the 75th percentile of the apo C-III concentrations of the entire sample, after exclusion of the individuals taking lipid-lowering medications such as statins and/or fibrates (122 mg/L; see also Fig.
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