Sentence examples for response can be defined from inspiring English sources

Placebo response can be defined as any therapeutic change on placebo, while the nocebo response is any ill effect during placebo exposure.

Hence, for example, an impulse response can be defined for an optical system that is deliberately defocussed or for systems used for the display of Fresnel or Fraunhofer diffraction patterns.

Demand response can be defined as the changes in electricity usage by end-use customers from their normal consumption patterns in response to changes in the price of electricity over time [23].

According to (11), the standard parameters for a second-order transient response can be defined as: left{ begin{gathered} omega _{{text{n}}} = sqrt {tfrac{K}{{Jomega _{0} }}} hfill xi = frac{{D_{{{text{eq}}}} }}{2}sqrt {tfrac{1}{{KJomega _{0} }}} = frac{{1/m + Domega _{0} }}{2}sqrt {tfrac{1}{{KJomega _{0} }}} hfill end{gathered} right.

Primary frequency response can be defined as the minimum increase in power that can be delivered increasingly with time over a period of 10 s from a generating unit that is available between 10 and 30 s after a frequency event.

Response can be defined as HIV prevalence among women belonging to each terminal node.

Many patients respond well to treatment with botulinum toxin but, for a variety of reasons, some patients do not.[ 6] Non-response can be defined as a lack of patient (subjective) or physician (objective) satisfaction with the therapeutic outcome of a drug.

To administer a pharmaconutrition agent on the other hand, would mean that a dose-response relation is presumed and that the desired response effect can be defined.

For body weight loss and survival, three different phenotypic response groups can be defined.

Statistically filtered response profiles can be defined for 1,218 of the drugs as these have at least three instances in the database.

Now, using this definition and considering the equations (2) and (3), a family of random-intercept models for repeated ordinal response data can be defined as log w(γ itj | u i ) = u i + α j + β'x it     (4) where γ itj = pr(Y it ≤ j | u i ) is the cumulative probability of response category j for individual i at time t.