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The model allows estimation of time to second, third and consecutive relapses in addition to estimates of time to first relapse obtainable via survival analysis of patient data (Lover and Coker, 2013; Battle et al., 2014).
The model allows estimation of the posterior distribution for measurement scale parameter and point process parameters within a Bayesian framework.
By including dispersive mass transport effects, the model allows estimation of peak variance and HETP and is thus an improvement over theories that focus solely on retention time.
Additionally, the Poisson regression model allows estimation of disease burden while more efficiently adjusting for co-morbidity caused by other respiratory viruses and also for confounding of seasonal variations of hospitalization and meteorological conditions [6].
The race model allows estimation of the time required to suppress a go response (stop signal reaction time).
The resemblance to the Cox model allows estimation of a hazard ratio, with the usual proportional hazards interpretation.
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22 Outputs of this model allow estimation of the average dhps540E prevalence within a country in a given year.
This model allowed estimation of absolute risks of secondary cancer for each treatment plan based on dose volume distributions for nontarget organs.
In all instances, our model allowed estimation of the mean and standard deviation of the incubation period, the shape of f(a), and β.
Simple and multiple linear regressions were used to obtain a parsimonious model allowing estimation of chronological age from the measurements made of the seven teeth based on each method and the variables of sex and age-group.
The multilevel model allowed estimation of coefficients between BS and local air quality predictors in the presence of missing data and hence was not dependent on imputation techniques (Beverland et al. 2012).
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