The phrase "accommodate missing" is not correct and does not convey a clear meaning in written English.
It may be intended to refer to the act of making provisions for something that is absent or lacking, but it lacks clarity and context.
Example: "We need to accommodate missing data in our analysis to ensure accurate results."
Alternatives: "address the absence" or "make provisions for the missing".
To accommodate missing data, multiple imputation (MI) was applied to all end points where missing data were apparent using, specifically, a two-step imputation process with m = 5 imputations per step (29).
In the absence of a standard method to accommodate missing values, investigators have used a variety of surrogate measures.
Figure 2 displays the methods used to accommodate missing data in the published RCTs.
It is difficult to evaluate the scope of this problem and the appropriateness of investigators' responses to it because there has been no formal quantitative integration of the published information on dropout rates (DORs) and which methods are most commonly used to accommodate missing data in obesity RCTs.
It can also accommodate missing values, which is not the case for many other methods.
The Bi-Level optimization algorithm was structured so as to accommodate missing information on the network kinetics.
While these methods are relatively straightforward to implement, they do not easily accommodate missed or unscheduled visits while allowing for a time-varying treatment effect.
For example, AZOrange transforms data formats, scales descriptor values where appropriate, accommodates missing values and selects stopping criteria.
The linear mixed model for repeated measurements is effective in accommodating missing data [ 80].
This modeling approach accommodates missing data and allows for the use of all data points available to estimate a model, potentially minimizing bias from missing data [ 18].
Proc MIXED also accommodates missing values under the assumption of missing at random [ 53], and will allow us to make maximum use of the existing data to detect treatment effects.
