Sentence examples for missing data situation from inspiring English sources

One cannot avoid missing data situation in practice and hence, the issue of the effect missing observations on the existing tests needs to be addressed.

This generic technique can be applied to virtually any missing data situation [ 18, 34- 36] and is now available in standard statistical software [ 6, 37, 38].

In the trials used here the 'learning-effect' of reminders did not appear to be a factor, but it would be interesting to investigate this in future work, as some would argue that only an unexpected reminder is close to the missing data situation.

If there are no missing data (situation S1), then one could simply use summary statistics to obtain power information, as this is a 2-group analysis.

However, in this study, when the performance of the KSOM estimator is tested for gap-filling in the streamflow, rainfall, evapotranspiration (ET), and temperature timeseries data, collected from 30 gauging stations in India under missing data situations, it is felt that the KSOM modeling performance could be further improved.

Thus, the probability of missing questions 6 was linked to the response of question 6 itself (an unknown characteristic in real missing data situations).

41 In these situations, missing data may often be regarded as ignorable.

The random simulations carried out may not be reflective of the patterns of missing data seen in real situations.

cAdditional adjustment; hospitalization days (total days 2000 2005: 0, 1–4, >4), including 5 196 998 observations due to missing data on education and/or family situation.

cAdditional adjustments: hospitalization days (total days 2000 2005: 0, 1–4, >4); hospitalization days in specialized out-patient care in the same diagnostic chapter, including 5 196 998 observations due to missing data on education and/or family situation.

The situation of MNAR, in which the missingness pattern is (partly) dependent on the missing data itself, occurs, e.g., in the situation of data below the lower limit of quantification.