Sentence examples for modeling time to from inspiring English sources

An appropriate AFT model for modeling time to hospitalization is (1 where t ij, x ij, and ɛ ij denote the survival time, a vector of covariates, and the error term for resident j at nursing home i; θ i is the coefficient of the dummy variable for nursing home i, and β is a vector of parameters measuring the association of each element of x ij with time to hospitalization.

We examined longitudinal trends in CJ risk scores over 9 years of observation (2005 2014), modeling time to probation recidivism with shared gamma frailty models and comparing contiguous time points by Wilcoxon matched-pairs signed rank tests.

A compelling motivation for modeling time to first and time between hospitalizations, as opposed to binary regression models of any hospitalization over a fixed time interval, is that the data are a sequence of intervals of differing lengths separated by hospitalizations or occasions when a resident's covariates are observed to have changed.

When comparing modeling time per object, rates ranged from 0.2 (decreased modeling time) to 1.56 (increased modeling time).

From a clinical and statistical perspective, modeling time to (or rate of) hospitalization is preferred because the risk of hospitalization is not constant over time.

Modeling time to hospitalization is preferred because the risk of hospitalization is not constant over time due to various policy and clinical factors.

Three data sets are taken from the literature to demonstrate the ability of the generalized log-logistic distribution in modeling time-to-event data.

Parametric survival analysis has been the source for the development of distributions with richness and flexibility for modeling time-to-event data.

The cure rate models have been used for modeling time-to-event data for cardiac failure and various types of cancers including prostate, breast, leukemia, non-Hodgkin lymphoma and melanoma.

A second limitation is the use of a parametric family of distribution, namely the Weibull family, for modeling time-to-event.

These restrictions are applied at each modeling time step to exclude areas where no well pads can be placed.> The water use modeled for each shale gas development scenario was compared to a baseline scenario which excluded any potential shale gas extraction activities.