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Taking all of these restrictions into account and omitting observations with missing information yields a sample of 66,779 observations for individuals aged 16 to 65 years old: 28,813 females and 31,580 males.
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For our analysis, we have omitted observations with missing values or zero amount of informal payments.
In leave-1-out cross-validation, a single observation was omitted from the small data set, and a model was fitted to the remaining observations and used to predict the probability of the outcome in the omitted observation.
In addition, we omit 31 observations with negative shareholder value.
Furthermore, the results of analyses were comparable and consistent when performed omitting baseline observations carried forward and when only patients with week 52 data were included.
As with the weight assessment, the results of analyses were comparable and consistent when performed omitting baseline observations carried forward and when only patients with week 52 data were included.
The failure times with missing information on causes of failures also provide useful information regarding departures from independence of T and δ, and hence, omitting such observations from the analysis may result in loss of efficiency.
Table 3, shows the performance in WPM as the average of the three observations, with fraction part omitted, for 15° viewing angle while similar experiments were carried out for 40° viewing angle.
Observations with missing values were omitted so that the sample size for Models I and II was 724.
When assessing the time course of individual symptoms, observations with missing data were omitted from the analysis.
In regression analysis observations with standardized residuals ≥3 were omitted because of their exaggerated influence on regression results.
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