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models, statistical Statistical formulations or analyses which, when applied to data and found to fit the data, are then used to verify the assumptions and parameters used in the analysis. Examples of statistical models are the linear model, binomial model, polynomial model, two-parameter model, etc.
(12 Dec 1998)
models, structural A representation, generally smale in scale, to show the structure, construction, or appearance of something.
(12 Dec 1998)
models, theoretical Theoretical representations that simulate the behaviour or activity of systems, processes, or phenomena. They include the use of mathematical equations, computers, and other electronic equipment.
(12 Dec 1998)
prevalence models <epidemiology> Prevalence models are compartmental models dividing the host population into, for example, susceptible, latent, infectious and immune individuals.
(05 Dec 1998)
proportional hazards models Statistical models used in survival analysis that assert that the effect of the study factors on the hazard rate in the study population is multiplicative and does not change over time.
(12 Dec 1998)
disease models, animal Animal disease whose pathologic mechanisms are sufficiently similar to those of a different human disease for the animal disease to serve as a model. The animal disease may be either induced or naturally occurring so long as it is not the same clinical entity as the disease for which it serves as a model. E.g., scrapie is an animal model for multiple sclerosis, which has never been found or induced in an animal.
(12 Dec 1998)
transgenic disease models Animals that have been created to acquire particular human diseases.
(14 Nov 1997)
linear models Statistical models in which the value of a parameter for a given value of a factor is assumed to be equal to a + bx, where a and b are constants. The models predict a linear regression.
(12 Dec 1998)
lock and key models <chemistry, immunology> Specific recognition in biological systems might be mediated through interactions that depend upon very precise steric matching between receptor and ligand or between enzyme and substrate. The commonly used analogy is between lock and key and implies a precise sterically determined interaction.
(18 Nov 1997)
logistic models Statistical models which describe the relationship between a qualitative dependent variable (that is, one which 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 a disease) as a function of a given risk factor.
(12 Dec 1998)
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