Data from missing countries (by individual year and population group and disease and risk burden) were removed from that specific regression analysis.
So a regression, describing the relation between tC/ha and NPP, was calculated and the biomass of grids of missing countries have been estimated to obtain a complete global forest biomass map.
However, the missing countries across the years led us to analyze 15 countries for the period of 2009-2013.
Based again on no more than three missing values, the absolute composite ranking could be calculated for 171 countries (57 missing countries provided in Table S7).
In fact, Retzlaff-Roberts et al. [15] have 26 missing country observations in 2000 and 20 in 2012.
Sources of uncertainty were identified and incorporated, including from missing country data, sampling uncertainty of original data sources, and additional uncertainty associated with suboptimal metrics, subnational samples, or household level surveys.
We excluded multiple births and births with missing country of birth, postal code, SGA status, or maternal education values still missing after imputation, leaving a final sample of 98,330 singleton births.
Missing country-year observations were replaced with country-specific mean, and a log-transformed density was used in the final analysis.
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