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Descriptive statistics for the full sample (missing data imputed) are presented in Table 3.> Three-quarters of participants were first-time CAMHS clients.
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Among these 91 individuals, we evaluated a total of 3,365 possible infections, i.e. 37 HPV types among 91 individuals, minus two samples missing data on one HPV type or (37×91) −2 = 3,365.
The reproducibility parameter was computed by counting the number of mismatches in replicated samples (missing data excluded).
The simulation data sets are unrealistically ideal in terms of completeness of sampling (or extent of random sampling), missing data (none), and typing error (none for most simulations).
Because of exceeded time limits between admission and the index test, non-evaluable samples, missing data and withdrawal of consent, 10 patients were subsequently excluded.
A series of filtering steps removed variants that failed to pass filters and those with greater than 30% of samples missing data.
Since some samples did not have a complete three-gene dataset (Additional file 6), ML analyses were performed on individual gene datasets excluding samples missing data for respective genes.
Percentages were calculated for each sample without missing data.
Descriptive characteristics were obtained for an analytical sample including missing data.
However, there are limitations in utilising existing sources of data including small sample sizes, missing data and poor data quality.
Approximately 15% of our sample was missing data for at least one variable in the final multilevel model.
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