Sentence examples for by splitting the model from inspiring English sources

Cox [17] developed an elegant method for the analysis of survival data by splitting the model into two parts: 1) the survival function, which only depends on time, and 2) a term for the ratio of the hazards (i.e. rates of the events) for different classes.

This example shows that a reduction in size of around 11%to97%7% or more can be achieved by splitting the original model into partial models.

This is achieved by splitting the state-space model (11), (14) into lower-dimensional sub-models (each corresponding to a cluster), cf. with [22, 23].

We therefore adapted the model by splitting the category 'socio-political level' into 'socio-political context at the societal level' and 'characteristics of members of the target group' (see Table  3).

Owing to the skewed distribution of the absence days and the WAI, we verified our presented regression model by splitting the sample into two halves.

We transformed the original three-group classification into a four-group model by splitting the 'ultimately fatal' prognosis into a 'long-term' prognosis and a 'short-term' prognosis.

Boolean models represented as interaction hypergraphs have a unique underlying interaction graph which can easily be derived from the logical model (by splitting the ANDs, see Klamt et al. [ 6]).

We took into account that the data are skewed and checked the goodness of fit of the regression model by splitting the group into two halves, estimating the values of the other half and by correlating the true values with the estimated values.

We fitted regression models by splitting the follow-up-time into 1-year intervals [ 20].

However, given that gender was so strongly related to BMI category in our bivariate analysis and that women made up 65.7% of the sample, we also calculated the logistic regression models by splitting the sample by gender.

23 Specifically, we fitted Poisson regression models by splitting the follow-up-time (that is, attained age between cohort entry and exit) into two year intervals and then allowing for one parameter for each such interval and an offset parameter equal to the logarithm of the observed risk time in each interval.