Sentence examples for predictor time from inspiring English sources

Exact(4)

To account for the shape and delay of the hemodynamic response (Boynton et al. 1996), the predictor time courses (box-car functions) were convolved with a gamma function.

The predictor time courses for stimulation blocks were constructed as box-car functions filtered through a linear model indirectly relating neural activity and BOLD response (Boynton et al. 1996).

* P-value < 0.05, statistically significant In the final model, physician per 100,000 populations, skilled birth attendant and postnatal care coverage were found the only predictor time series variables that had statistically significant association with Maternal Mortality Ratio (Table 8).

We categorized the predictor time to target temperature into tertiles of time from restoration of spontaneous circulation to esophageal temperature of not more than 34°C (<120, 120 to 220, and >220 minutes) because the assumption of a linear effect did not hold when used as a continuous variable despite standard transformations.

Similar(56)

Random forest modeling explained up to 63% of the Rim fire burn variance using seven predictors: time since previous fire, actual evapotranspiration (AET), climatic water deficit (Deficit), previous maximum burn severity, burning index, slope position, and solar radiation.

Each analysis included two predictors; Time (continuous, random) and Measurement Occasion (categorical, fixed).

Each analysis included four predictors; Time (fixed), Time (random), Condition (fixed) and the fixed interaction between Time and Condition (Time × Condition).

Early predictors time were measured at the time of conscription and only once, for which reason the exact order in time was difficult to prove.

Mean HCV prevalence was modeled using a model that includes as predictors: time (in years) and the different general population subgroups (or high risk population subgroups).

Figure  4 shows the percentage of subsystems in each class found at 5% of the ranks (1,265/25,305 most important variables) for each of the three predictors (time, space, and habitat).

Third, we also explored a set of time-varying covariates: how changes in a predictor over time were related to changes in A1C over time.

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