The phrase "avoid omitting" is correct and usable in written English.
It can be used when advising someone to ensure that they include all necessary information or details in their communication or work.
Example: "When writing your report, please avoid omitting any critical data that could impact the conclusions."
Alternatives: "prevent leaving out" or "ensure inclusion of".
While acknowledging the potential high spatial variability of ALT over short distances48,49 we did this to avoid omitting a large part of the observations.
Such a scheme is called "go one step in correlation chain" [20], which actually can avoid omitting some nodes.
We decided on an inclusive policy to avoid omitting research of potential value to the synthesis.
A broad scope was kept in the search to avoid omitting relevant papers on the topic.
In terms of explanatory variables, in order to avoid omitting any significant variables, all variables resulting from the step one analysis are re-introduced.
We felt this necessary so as to avoid omitting relevant studies completely or, when a study provided non-independent results from subsets of the data, presenting results only for one of the subsets.
Thus, this study includes instrumental variables for lagged electricity price variables to avoid omitted variable bias.
In order to avoid omitted variable bias, we use the following method: firstly, we restrict our sample to rural areas.
Since both indicators of the quality of the student body and indicators of institutional quality predict earnings, we constructed a regression model using both types as control variables in order to avoid omitted variable bias.
Area type- and population group- specific estimates of the relationship between burglary risk and security during the crime drop is indeed beyond the scope of the current work and requires a different methodological approach to avoid omitted variables problems.
Moreover, Moore et al. (2015) provide conceptual and empirical justification for the inclusion of nonacademic outcome measures in longitudinal education surveys to avoid omitted variable bias, inform the development of new intervention strategies, and support mediating and moderating analyses.
