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As potential fathers are taken from HIES in 1985 and HIES is repeated cross-section data, calculating missing father's average earnings is challenging.
Data completeness was assessed by calculating missing data rates for each item.
Performance was much better when calculating missing heights from the Swiss National Forest Inventory than when calculating heights with Silva's internal routines.
This is also applicable for calculating missing SDs based on SDs that were available for other time points in the study or based on 95% CI (Granger et al., 1982; Murphy et al., 1990; Kuhnz et al., 1994; Moutos et al., 1995; Legro et al., 2008).
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Not every variable can be measured directly, so models are necessary to calculate missing information or to predict the future state of the network.
Multi-variable imputation techniques calculate missing samples using data of more than one variable, exploiting relationships between different variables that manifest themselves in the data [e.g., NO2 versus O3 presence (Lee et al. 2002; Haagen-Smit et al. 1953)].
The data from the 12 related combinations were then used to calculate missing values, weighting the contributions from each experiment based on the rank correlation coefficients.
We calculated missing variances from reported P values.
We calculated missing SDs from 95% CIs, if available.
We calculated missing statistics where possible to address variable reporting of results.
For morbidity data, models can be employed to calculate missing data and check for consistency in existing datasets.
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CEO of Professional Science Editing for Scientists @ prosciediting.com