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Additional file 1 of Mapping chronic disease prevalence based on medication use and socio-demographic variables: an application of LASSO on administrative data sources in healthcar...
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Best CycleRank , PPageRank and Categories LASSO models predictions on the Italian, German, Belgian and Dutch influenza incidence.
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Best CycleRank , PPageRank and Categories GLM models predictions on the Italian, German, Belgian and Dutch influenza incidence.
Prior distributions of the model parameters.
Tables with additional results.
Extensive treatment of model and MCMC updating steps.
PANGO lineage classifications of the sampled sequences.
Comparison of MCMC and p(MC 3 ) with and without the neighbour-joining tree initialization step.
Type of errors in the estimated transmission tree.
Analysis of simulated outbreaks with fixed model parameters in the MCMC runs, while varying the number of introductions and coalescent rate in the history host.