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Consecutive missing value sequences longer than 200 ms were left unchanged.
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g1 missing value.
*One missing value.
* One missing value LIPUS.
The ∗ denotes a missing value.
To avoid exclusion of all of these women from our logistic regression analyses, we imputed missing values using a sequence of regression models as describe in Raghunathan et al. (2001).
We contrasted the above scenario with a scenario mimicking imputation of missing values for genotyping by sequencing (GBS -like data sets (Table 1).
When using imputation approaches to infer missing values one wants to identify sequences that are as close as possible to the test sequence around the location being imputed, such as those that are IBD, or at least share long matches with the test sequence.
These missing data caused only minor problems; only two sequences had missing values for three of the fifty-two parsimoniously variable sites.
As listed below in the sequence of missing values per country, countries such as, Somalia, South Sudan, and Sao Tome and Principe have high number of missing values compared to Tunisia, Morocco and South Africa.
Besides, most methods estimate missing values without considering the imputation sequence among incomplete genes.
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