Bayesian mixed models and variable selection models were used and, based on parameter samples from the model posterior distributions, explained variances were further partitioned at the level of chromosomes and genome segments.
Results from the methodology are expressed in terms of a factor of safety for the mean input values and the probability of spalling based on input parameter distributions.
Furthermore, we have added a section in Supplement file 1 ("Initial conditions") detailing the initial conditions, and we have extended the section "In silico predictions" to describe techniques used for simulations based on posterior parameter distributions.
To assess the fit of data to ABC models, the data were summarized by the average and variance of several summary statistics, and then compared with the distributions of summary statistics obtained from coalescent simulations based on parameters drawn randomly from their posterior distributions.
In addition, one limitation in the analysis is that it precludes detection of previously unidentified miRNA precursors, an angle which could be addressed by feeding the deep-sequencing data mappings into a miRNA prediction program (based on parameters like mature/star sequence count distribution, folding properties, etc).
The incubation and infectious period distributions were based on parameters used to model seasonal influenza epidemics [ 22] and the 2009 H1N1(A) pandemic [ 8].
Exposure groups were simulated based on distributions parameters as shown by N representing a normal and log-N a log-normal distribution.
Each coefficient was then multiplied by the end points of the corresponding 95% confidence interval for the parameter (based on the distributions shown in table 1) to obtain a predicted range for the cost effectiveness ratio as each parameter was varied.
Among such analyses one can basically distinguish methods based on spatiogenetic distribution parameters from methods of spatiogenetic clustering (or fragmentation).
Probabilistic sensitivity analysis was performed by Monte Carlo simulation, and 5,000 simulations were performed to account for parameter uncertainty based on the distributions defined in Table 1.
