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Missing data methods consisted of discarding data (DROP), additional effect parameter for the group with missing data (EXTRA), and mixture methods in which the mixing probability was fixed to the observed fraction of categories (MIXobs), based on the likelihood of the concentration data (MIXconc), or combined likelihood of observed covariate data and concentration data (MIXjoint).
This option, suggested by White, Daniel, and Royston (2010), is available for all categorical imputation methods (logit, ologit, and mlogit), and it allows us to add to the data extra observations with small weights during estimation of model parameters so that no prediction is perfect (White et al., 2010).
Individual participant data contained some additional follow-up data, extra demographic data, and details on missing outcomes reporting.
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To account for overdispersion in the count data, extra-Poisson variability was modeled and incorporated into estimates of standard errors.[24] Parameter estimates were transformed to rate ratios.
To account for overdispersion in the count data, extra-Poisson variability was modeled and incorporated into estimates of SEs.
Although clustered count data with extra zeros often occur, few methods have been developed for correlated data with extra zeros [ 37].
Children's data gain extra safeguards.
Be aware polarization data requires extra calibration steps.
In addition, the stamped temporal data adds extra level of privacy for temporal patterns in the IoT.
Figure 3 Gathering test data via extra network.
Fig. 15 Seismogram profiles of the data and extra events.
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