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

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

Heart -- Models -- Congresses. : Functional imaging and modeling of the heart : 6th international conference, FIMH 2011, New York City, NY, USA, May 25-27, 2011 : proceedings / Dimitris N. Metaxas, Leon Axel (eds.)

2011

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Helicopters -- Models. : Modelling and control of mini-flying machines / Pedro Castillo, Rogelio Lozano, and Alejandro E. Dzul

Theoretical representations that simulate the behavior or activity of immune system, processes, or phenomena. They include the use of mathematical equations, computers, and other electrical equipment

Theoretical models which propose methods of learning or teaching as a basis or adjunct to changes in attitude or behavior. These educational interventions are usually applied in the fields of health and patient education but are not restricted to patient care

Life sciences -- Models : A comprehensive physically based approach to modeling in bioengineering and life sciences / Riccardo Sacco, Giovanna Guidoboni, Aurelio Giancarlo Mauri

Summarizing techniques used to describe the pattern of mortality and survival in populations. These methods can be applied to the study not only of death, but also of any defined endpoint such as the onset of disease or the occurrence of disease complications

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Ligaments -- Models. : Anatomical model skeleton with muscles and ligaments : 180cm tall

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

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

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