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For the best fitting models we also compared the predicted number of mutations in index cases with the number observed.
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To select the best fitting model, we fitted parametric models with exponential, log-logistic, log normal and gamma distribution separately.
To choose the best fitting model, we have taken into consideration primarily the R index (which is the linear determination index: in the ideal case its value should be equal to 1; in real cases it is near to 1 if the interpolating curve is a good approximation of the real data set) but the value of R alone is not the only factor that we have considered in choosing the best model.
From the best-fitting model, we derived inhibitory concentrations for antiandrogenicity and effect concentrations for cytotoxicity.
To choose the best-fitting model, we used the -2 log-likelihood ratios test to compare models.
Based on the best-fitting model, we calculated odds ratios (ORs) for mortality in association with a 10-μg/m increase in PM10.
In the best-fitting model, we estimated the duration of preclinical DCIS to be Weibull distributed, with a mean of 2.6 years at all ages.
After selecting the best fitting model, π, we normalize w t using μ and σ.
Model II, which includes no out migration of infective, appears to be the next best fitting model when we assume only 20% of the dead waterbirds are recovered.
In summary, model III (which includes out migration of infective) appears to have the lowest RSS but the AIC along with RSS indicates that model I (no out migration and assuming all dead birds are found) may be the best fitting model when we assume the initial number of infected is one.
Again we only report comparisons between the best fitting models.
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