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Alongside goodness of fit statistics, we calculated Akaike's information criterion (AIC) to determine the best fitting model in each case.
The model of genetic and specific environmental factors (AE) was the best fitting model in all DPs and in the main diagnostic groups.
The General Time Reversible model (GTR) + Invariable sites (I) + gamma (G) was selected as the best fitting model in ML and Bayesian analyses.
In 7/11 cases HIV-Bm was the best fitting model (in all 11 cases it scored in the top 3), REV-1 was best in 4/11 cases.
For the final three models, we obtained parameter values from the best fitting model in [ 9].
Model 2, incorporating the modulation of backward connections, was clearly the best fitting model in healthy controls (exceedance probability: 70%).
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Heritability estimates and confidence intervals under the best fitting models in each country are shown in Table 5. Heritability of exercise participation in males ranged from 27% in Norway to 67% in the Netherlands and in females from 48% in Australia to 71% in the UK.
Standard hierarchic χ tests were used to select the best fitting models in combination with Akaike's information criterion (AIC) (AIC = χ − 2 df).
In terms of the AIC, model 1 is the best fitting model but in terms of the BIC, model 4 is the best fitting model.
In the case of asthma, exposure on the day of the visit was chosen as the best fitting model while in the case of CHF, the day prior to the visit was the main exposure variable.
Thus, based on all fit indices, the best fitting model was retained in all following analyses.
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