Sentence examples for implicitly adjust from inspiring English sources

The CNV develops during explicit motor and perceptual timing tasks [21], [22], [71] [73] and also when subjects implicitly adjust their performance to the temporal structure of the task [10].

Exposures were decomposed using the Sheppard et al. (2005) mean-centering approach to implicitly adjust for potential confounding and mismeasurement of exposure by study phase and retirement community (see Supplemental Material, pp. 2 3).

Such analyses implicitly adjust for many potential confounders, e.g., body mass index and health behaviors that are not captured, or are poorly captured, in most health services databases, and thus may be the optimal perspective for assessing the relationship of fluoroquinolone exposure to RD.

We focus on the male female ratio because we are interested in the gender division of labor and also because expressing the participation rate as a gender ratio implicitly adjusts for issues in measuring participation in the source country, at least to the extent that they affect men and women similarly.

Age was implicitly adjusted for in the model.

The analysis was conducted within years; implicitly adjusting for long-term trends.

In other words, the generation effect was assumed implicitly adjusted for by other year effects in the model.

Age, sex, and height were implicitly adjusted for in spirometry measure models through the use of percent predicted measures (Rachinsky and Tatochenko 1988; Shiryaev 1978).

The SCCS design, which is emerging as a primary method for assessing safety of vaccines, overcomes these challenges by implicitly adjusting for all fixed confounding variables, since individuals serve as their own controls, and only requiring data on observed cases.

This is an internally controlled method whereby analyses are carried out only in patients with the outcome of interest, which has the advantage of implicitly adjusting for all measured and unmeasured fixed confounding variables within patients and so reduces residual confounding and indication bias [ 20, 21].

In addition, the surrogate variables for which our model implicitly adjusts have an explicit mixing interpretation.