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Therefore, we cannot estimate the effect of missing variables in the scores estimations.
The variance of the conditional distribution of missing variables in the m th segment given the observed ones in the (m − 1 th segment ( σ m, m. m − 1 2 ) is given by [19] σ m, m. m − 1 2 = σ m, m 2 − σ m − 1, m 4 / σ m − 1, m − 1 2, (11). in which σ m, m 2 is given by σ m, m 2 = 1 N ∑ n x m 2 ( n ) − μ m 2. (12..
One possible reason is that there are missing variables in the model.
We used imputation to account for missing variables in the multivariable models.
There were hidden missing variables in GPRD that meant that if data were missing, they were classified as not present.
Missing variables in follow-up data will not be imputed since it has been shown that multilevel analysis is a very flexible method for handling missing data [ 45].
Similar(49)
Essentially, MI is a means for representing uncertainty in missing data, by producing a distribution of plausible values for a missing variable in a record, given the values of that record's non-missing covariates.
Once we discovered that the results of this campaign were overwhelmingly positive in favor of the ad, we felt a duty to bring these findings forward and provide the missing variable in the equation that was leading to inaccurate results," Masri said.
Covariates included age, FCI, TUG, PPA and baseline EQ-5D utility score, and the weight and value of the missing variable in the preceding period.
Among them, six patients were excluded for the following reasons: three because of FVC of less than 40% predicted and three because they had more than one missing variable in the DETECT algorithm.
After excluding 417 patients with type 1 diabetes (including missing data on classification of diabetes type), and 945 with missing variables used in the analysis, 8,767 patients were included in this analysis.
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