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Cubic regression splines may also be used to model and to test non-linear effects of covariates on event-specific hazard functions in a simple way: since any model with a linear effect of a given covariate is nested within models with a non-linear effect of the same covariate modelled using regression splines, a simple LR test may be used.
The effect of each input parameter on output responses is investigated using analysis of variance (ANOVA) and modelled using regression analysis.
Costs of other prescriptions and in-patient admissions were estimated for each follow-up year and then modelled using regression methods.
Time-to-event data will be modelled using regression analysis, but this will form part of the secondary analysis.
The longitudinal relationships between the nine domains of CFQoL and the 11 variables recording patient characteristics were modelled using regression models with fixed and random coefficients.
Similar(54)
CD4 cell count at viral set-point was modelled using linear regression models.
Mortality rates were modelled using Poisson regression model in which age and period midpoints were used as continuous independent variables, number of deaths as dependent variable, and logarithmic follow-up time in person years as offset.
The motor was modelled using multiple regression analysis.
The weekly number of tests negative for influenza was modelled, using Poisson regression, as a function of viral identifications for influenza, RSV, adenovirus and PIV as well as a baseline consisting of seasonality, trend and holiday variables.
Associations between dependent and independent variables were modelled using linear regression.
The psychological distress scores were "count" data and were therefore modelled using poisson regression.
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