The best fitting model included 2 Log L chi square statistic as well as sensitivity and specificity values retrospectively.
Confirmatory factorial analyses suggest that the best fitting model includes four specific relational factors at the first level and two factors at the second level, these last two factors representing parental and peer attachments.
Using the lower cut-point, the best fitting model included additive genetics (A) and unique environment (E), with a heritability of 45% as shown in Table 2.
In contrast, using the higher threshold, the best fitting model included the common and unique environment, with the unique environment contributing 72% of the variance.
In contrast, using the higher threshold, the best fitting model included the common (C) and unique environment (E), with the unique environment contributing 72% of the phenotypic variance.
In both samples, the best fitting model included a squared term for age.
The best fitting model included period and birth cohort as predictors, and age as a random effect.
When interactions were added, the best fitting model included density, GSSG, age and age×density (see S3 for model details, Figure 1).
Consistent with our single gene regressive strategy the best fitting model includes IL17RB, the transcript with the largest estimated regression coefficient.
The best fitting model included the variables smoking, contact with placental material and contact with birds (−2 Log likelihood is 191.7 and Nagelkerke R = 0.092).
The best fitting model included the IBI with a cut-point of 5 years, TTP, BMI, barrier methods of contraception and household monthly income.
