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Discover LudwigThe phrase "approaches for missing" is not correct and lacks clarity in written English.
It may be intended to refer to methods or strategies for addressing something that is missing, but it needs additional context to be usable.
Example: "We need to develop new approaches for missing data in our research study."
Alternatives: "methods for addressing missing" or "strategies for handling missing".
Exact(2)
In this paper, we investigate several well known approaches for missing data and their relationships for the parametric probability regression model P β (Y|X) when outcome of interest Y is subject to missingness.
Some CONSORT-PRO items were reported by most RCTs, for example 75% reported results by PRO domain and 69% of publications discussed PRO results in the context clinical endpoints, yet the limited number of RCTs that reported baseline PROs (36%) and approaches for missing data (42%) is concerning.
Similar(58)
It is observed that the classification accuracy is improved or at least maintained by using our approach for missing data imputation.
Analysts might take a zero-weighting approach for missing data,[ 34] treating individuals with complete data as a subgroup, to address missing data.
Analyses were conducted at week 24 using the last observation carried forward (LOCF) approach for missing data, and also for observed cases (OC).
We used intention to treat (ITT) analyses, using all available data at each time point and the baseline observation carried forward (BOCF) approach for missing data.
All analyses were done in intention to treat (ITT), using all available data at each time point and baseline observation carried forward (BOCF) approach for missing data at M1, M2 and M3.
For time-to-event outcomes, disease status may be accounted for by using the cumulative baseline hazard and an event indicator as fixed effects in the mixed model, analogous to a suggested approach for missing data imputation in the time-to-event setting [ 27].
For the primary outcome, the least squares means and their 95% CIs will be estimated using analysis of covariance (with treatment group as a factor and baseline scores as a covariate) to compare the two groups, with a last-observation-carried-forward approach for missing values.
One possibility would be to consider the stochastic imputation approach developed for missing data, which has been extended to tackle measurement error problems (e.g. Brownstone and Valletta 1996;Freedman et al. 2008).
The women were approached only for missing information.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com