Exact(2)
Using locus-specific observed values of θw at silent sites from our German population, we drew parameter values from the estimated posterior distributions of our fitted model and simulated 10,000 multilocus datasets, comparing the distribution of summary statistics from these simulations to our observed data (Table 2).
We drew parameter inputs for the Southampton model (table 1) from the published literature, giving priority to systematic reviews, followed by randomised clinical trials and other published models, and then observational data supplemented by clearly stated assumptions when necessary.
Similar(58)
For the ODE integrations to yield different results for each thread, instead of using fixed parameters, we drew parameters from uniform random distributions in the interval between 0 and 2. The CPU versions of the Gillespie and Euler Maruyama algorithms were written in C++ and compiled with GCC using the -O3 optimization flag.
We draw parameter realizations from an exponential distribution.
With (Sigma _{t}^{left (mu _{theta _{t}}right)}), we describe the covariance matrix computed using the parameter estimates (mu _{theta _{t}}) as in Eq. (29), while with (Sigma _{t}^{(m)}), we refer to the covariance matrix evaluated per drawn parameter sample (theta _{t+1}^{(m)}).
We generated these by drawing parameter values from 1000 iterations (following convergence) of the Metropolis algorithm [14].
Uncertainty was propagated through the model using Monte Carlo simulation, drawing parameter values at random 1000 times from the particular distributions.
The likelihood of the observed incidence and prevalence was computed for 2.28 million sets of randomly drawn parameter values, comprising 40 parameters each (Table 1).
In either case, random numbers are used in the multiple imputation model as part of the process of drawing parameter values from a predetermined set of options.
This is performed by drawing parameter values from assumed distribution families, comparing corresponding model results with clinical survival data and optimising the agreement with respect to the parameters of the distribution family.
Current mania symptoms were associated with worse performance on the time to draw parameter of the Rey complex figure test, the inhibition trial of the color-word test and the phonetic and semantic parts of the Verbal fluency test.
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