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Crude and multivariable-adjusted prescription rate ratios (RRs) were estimated with Poisson models with number of prescriptions as outcome.
Two types of multivariate models were tested: multivariate additive models (simultaneously considering all childhood adversities) and multivariate interactive models (with number and type of childhood adversities experienced by each respondent included as dummy variables).
These findings are consistent with the BIC-analyses, where the three models including individual symptoms had the lowest BIC, and hence were ranged as having the best fit to the data, compared to the models with number of symptoms (data not shown).
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The validated multiway models with numbers of components for each major lineage are shown in Table 1.
It has been seen in the literature that approximate linear model with number of assumptions is used for controller design.
A testing and modeling framework has been established to develop a proper permanent deformation prediction model, referred to herein as the UIUC rutting model, with number of load applications.
The model with treatment had a higher log likelihood than the model with number of breeding pairs and was thus preferred.
We ran the fixed lifespan blood vessel model with number of blood vessels from 30 to 600 and vessel lifespans from 4 to 500 time steps on a log scale, which covered the ranges observed in real neoplasms (Table S1).
The following procedure is applied to the summary signal: Naïve CN Class Detection: A Gaussian mixture model with number of components (n.comp) = 1, 2, 3, 4, 5 and 6 is fitted to the data.
* From Poisson regression model with number tested as offset.
A total of 16 data sets of 5,000 sites each were synthesized under the two-component MBL model and analyzed using the MBL model with number of components varying from one to four.
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