Sentence examples for function of predictor from inspiring English sources

Figure 12 Bitrates as a function of predictor block size and for λ = 1/100.

Figure 13 ODG as a function of predictor block size for Δ = 0. 05 and for λ = 1/100.

The deterministic component, Xβ, is the portion of z that can be expressed as a function of predictor variables and annual constants (i.e., intercepts).

Logistic regression models were fit to model the logit of the probability of FIV seropositivity as a function of predictor variables age, sex/neuter status, outdoor exposure, health status and testing facility in a random intercept logistic regression model framework.

At Level 2, outcomes are modeled as a function of predictor variables that vary between participants (i.e., type of radiation treatment and demographic factors), plus an error associated with each individual [ 50].

To analyze the failure of ART restorations and sealants in each return visit (follow-up session as described earlier) as a function of predictor variables, survival analysis was chosen instead of regression or ANOVA because it allowed for censored values such as cases lost to follow-up.

We consider this percentage occupancy as the response variable which is a function of predictors such as the city, the site, the time of day during which the measurements were taken, weekday/weekend, and the specific wireless service corresponding to a particular frequency band, as mentioned previously.

To explore the sources of RR heterogeneity, we modeled the log RR as a function of predictors in a linear meta-regression model.

An R statistic, denoted pR, was the squared correlation between the logit-transformed overall severity evaluations on VAS and linear function of predictors from the model.

For example, the GEE method was used to model the linear relation between the mean change in breast-tissue water as a function of predictors including menopausal status, measurement day after NAC, and the interaction between menopausal status and measurement day.

One approach to functional data analysis uses generalized additive models to estimate functions of predictor variables, adding together each effect to predict the response variable.