Sentence examples for missing data through from inspiring English sources

In particular, the IPW approach is used to account for missing data through inflating the weight for subjects who are underrepresented due to missingness.

The traditional BN model mainly fills missing data through expert scoring and does not consider correlation between variables, which makes the assessment subjective and inaccurate.

We explored the potential effects of missing data through a series of sensitivity analyses (Table 2).

Indeed, MI only considers random draws from the distribution while EM and MaxLL are based on all possible values taken by missing data through integration of the distribution.

In addition, results of sensitivity analyses that compensated for missing data through different models did not vary substantially from the intention-to-treat findings.

To check the robustness of our results, we ran a sensitivity analysis in which we included the cases and treated missing data through multiple imputations.

The second approach employed for handling addressing missing data is through GSEM's maximum likelihood estimation procedures in Stata 13.

Data were used from all participants who were assessed before randomisation and missing data were imputed through three mechanisms (best case scenario, worst case scenario, and missing mechanism).

Otherwise, missing data were retrieved through phone or mail to the patient's physician.

However, partial adjustment for the missing data was achieved through statistical modeling involving multiple imputations.

To address this challenge, missing data were completed through informal interviews with key informants.