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The most widely used approach to study chemical reaction systems is deterministic model using ordinary differential equations.
We built a compartmental model using ordinary differential equations to describe a mature tuberculosis epidemic in a stable, homogeneously mixing population structured by age and HIV status.
To investigate signal transduction pathways that regulate transient protein expression and sporulation efficiency, we develop a mathematical model using ordinary differential equations.
Given its ease of interpretation and to facilitate communication, we used a linear regression model using ordinary least squares estimation to assess factors associated with cost, and to estimate the adjusted mean 5-year cost for each category.
Ordinary least squares, a two-part model using generalized linear model with log-link and gamma variance in the second part, and a two-part model using ordinary least squares on log expenditures with a heteroscedastic smearing retransformation (11) all yield average incremental effects of an additional year with diabetes near $158.
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The model uses ordinary differential and algebraic equations that track particle movement through discrete size intervals to simulate changes in the size distribution.
An efficient and reliable parameter estimation method is essential for the creation of biological models using ordinary differential equation (ODE).
In general, biological systems exhibit complex nonlinear dynamic behavior, which is often modeled using ordinary differential equations (ODEs).
We built multivariate models using ordinary least squares regression to estimate associations between IQ and blood lead and/or hemoglobin.
For all multivariable models using ordinary least squares (OLS) linear regression, all models were assessed for violation of the fundamental assumptions.
Deterministic models using ordinary differential equations have been used to find the optimal value in a non-linear probability function [ 38].
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