Sentence examples for unanticipated variables from inspiring English sources

As in RCTs, it is not uncommon for unanticipated variables to be explored for their influence of treatment effects in systematic reviews.

It is reasonable to pre-plan, a-priori, the methods for looking at the included data to identify unanticipated variables of interest e.g., looking at summary tables, graphical displays etc.; [ 24, 27, 28, 32, 36].

The unanticipated relationships with variables capturing the ability of the person to get around outdoors may be explained by fear of falling.

Data analysis will be an on-going and iterative process throughout all phases of the data collection process, as early identification of themes will allow a fuller probing of unanticipated concepts and variables in upcoming interviews [ 25].

Data analysis will be an on-going and iterative process through all phases of data collection, as early identification will allow a fuller probing of unanticipated concepts and variables in upcoming interviews and focus group discussions [ 19].

While urban areas have the advantage of more infrastructure and health services, there are also unexpected variables and unanticipated dynamics.

They also provide the opportunity to explore the anticipated and unanticipated effects of intervening on these variables as well as the impact of change from one variable to another [ 52, 53].

Despite the promise of CNV analysis, testing may reveal a variant of unknown significance, CNVs with incomplete penetrance or variable expressivity, or unanticipated findings such as misattributed paternity.

Other unanticipated biases might also exist due to unmeasured variables, such as instrumental variables (for example, income, exercise).

In the baseline practice, a researcher only analyzes the effect of the manipulation on the dependent variable; in the flexible-covariate practice, she analyzes both the effect of the manipulation on the dependent variable and the effect adjusting for the unanticipated covariate.

It is difficult to isolate or change a single variable — like loudness — without affecting several others in unanticipated ways.