Sentence examples for technique variables from inspiring English sources

In the IVs technique, variables called instruments are used to determine an exogenous part of the variability from the endogenous predictor.

Of the remaining 844 attempts observed, coding for all four technique variables was complete (i.e. no variable was coded as "not visible") in 45% (379/844), representing 92% (35/38) of clinics.

A technique score from 0 to 4 was produced for each hand hygiene attempt for which contact time was > 1 s and all four technique variables (i.e. deliberate effort to scrub/rub back of hands, between fingers, thumbs, and wrists) were coded as either yes or no, with one point given for each component when scrubbing/rubbing was observed.

Anesthetic and surgical technique variables were collected, such as level of puncture (L2-L3, L3-L4, or L4-L5); vofume of local anesthetic (mL) and fentanyl (μg) administered, and type of surgical implant; and surgical times and anesthetic times in minutes.

Anaesthesia and the surgical technique variables: the level of puncture (L2 - L3, L3 - L4, or L4 - L5), the level of sensory (dermatomes) and the motor block (Bromage score 0 3) after 10 min, the type and duration of surgery and anaesthesia in minutes, were recorded.

The fourth column (effect on odds ratio) indicates whether the variables are predictive of increased rehabilitation use or decreased rehabilitation use.> Table  3 lists the 11 top-ranked RAI-HC variables identified using the machine learning techniques (variables in the bottom-left corner of Fig.  4) and the 10 items used in the RA.

Soft-computing approaches have then been successfully applied to solve the SSRP in the past, such as evolutionary computation techniques, variable neighborhood approaches or tabu search algorithms.

When implementing the GWR technique, categorical variables (including land cover, lithology, watershed and soil conditions) should be distinguished from explanatory variables.

This technique clusters variables into different groups.

However, these models vary largely in modeling technique, explanatory variables considered and its coefficients.

Here, simulations as well as a curve fitting technique (with variables) are required to parameterize quantization noise.