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An HIV model including latent infection and antiretroviral therapy is examined by Wang et al. [12].
A mathematical model including latent infection and the influence of CTLs will be our future research work.
We have studied an HIV model including latent infection, antiretroviral therapy and a logistic growth for healthy CD4+ T-cells.
The econometric model is based on two elements: a personality model based on a traditional factor model and on an employment model including latent factors as explanatory variables.
In the next section, we will formulate an HIV infection model including latent infection, drug therapy, and logistic growth for healthy CD4+ T-cells, and we will address the positivity and boundedness of the model solutions.
These results were consistent irrespective of whether we were using a model including latent correlation or trend.
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Machine-learning and statistical classification models, including latent class analysis and neural networks, which have been applied to chronic conditions where there may be low sensitivity associated with using a single diagnosis code to ascertain disease cases [ 12, 34, 35], might be applied to this problem.
Zhang et al. (2008) approaches the subject from a Bayesian perspective, using a framework including latent variables for modelling a shared structure among different learning scenarios.
In contrast, statistical modeling techniques including Latent Dirichlet Allocation (LDA) [4] make the automated identification of topics from large document collections and corpora possible [5].
Various other model specifications were also evaluated, including: latent class or mixture models [ 40- 43]; spline or locally piecewise regression [ 43, 44]; fractional polynomial regression [ 45, 46]; generalised least squares [ 47, 48]; fractional logit [ 27, 33]; random-effects or mixed models [ 33, 49]; and median regression [ 50].
Additional file 2: CFA model of the 10 item questionnaire including latent variable correlations, standardized parameter estimates and squared multiple correlations under single mean imputation.
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