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As a highly specified model of PD, the LTG PD program contains stated learning goals1, explicit design characteristics, and extensive resources for facilitators.
Using PIST [ 13], the maximum-likelihood score of the sequences represented in Figure 4 is compared with the scores of 1000 simulated clonal sequences along the calculated maximum-likelihood tree and under the specified model of evolution (see methods).
Making inferences about factors that can account for these observed differences should be assisted by a correctly specified model of individual-level internal exposures that includes all relevant covariates.
Before discarding items 7, 22 and 23 it may be prudent to consider whether response to patient safety events and disclosure are simple PS skills that should be taught or whether a properly specified model of PS competency should be expanded to include distinct domains reflecting each of these two areas.
ITS sequences showing strong evidence of recombination, as detected by DnaSP, were submitted to PIST [ 13] to calculate the probability of recombination by maximum likelihood: the tree score of these sequences is compared with the tree scores of 1000 simulated clonal sequences along the specified tree under the specified model of evolution.
For the purpose of inferring previously unknown influences between transcriptional network components given appropriate data and any well specified model of such influences, many of the most important causal models may be classified either as directed acyclic graphs or as kinetic models.
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The CFI compares the fit of the specified model to the fit of a baseline model in which all items are assumed to be uncorrelated with each other.
The specified model explains 33.2% of the variance of ACCEPTANCE scores as well as 24.4% of the variance of INTENTION scores.
‡ Log-likelihood (LL) of the specified model compared to LL of the saturated model.
The specified model explains 77% of the total variance (F = 12.965, p = .000), which constitutes a high proportion.
A novel adjoint-based procedure for adaptive tuning of the specified model error covariance matrix is introduced.
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