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Exact(5)

The first set of models contained all maternal components together (they are independent so there is no confounding) and were also adjusted for gender.

The primary PLS models contained all individual x and y variables, while the secondary models contained all or defined blocks or sets of influential (VIP > 1.0) x variables and excluded the occlusal caries y variables in the Y matrices due to individual Q-values below 0.1 (10%).

Final models contained all prior area deprivation measures and current and prior individual SEP (i.e., 1972 area deprivation adjusted for area deprivation in 1950, young adult SEP, and childhood SEP).

A second series of models contained all of the above adjustments, plus factors known to be related to both depression and mortality in patients with diabetes: education, smoking, alcohol, and living alone.

Our final models contained all of the previously listed potential confounders and in addition controlled for body anthropometrics as potential mediators (baseline BMI [calculated from measured weight and height], height and measured waist circumference, and self-report of BMI at age 50 years; because of missing data, age 50 years BMI was imputed from age, race, and baseline BMI in 128 women).

Similar(55)

Among other things, this means that AIC model statistics are not defined for "full" models containing all possible variables.

Setting aside the models containing all "significant" variables allows us to focus more attention to the implied mechanisms at work in more parsimonious models.

In none of the full models containing all possible interaction terms, it was possible to identify significant moderation by age × gender (see Table 6).

We compared models containing all possible combinations of one or more explanatory variables and their interactions and used AIC values to select the most likely models.

a Models contain all demographic and socioeconomic indicators.

Wald χ statistics (Bolker et al., 2009) and p values were obtained from models containing all explanatory terms.

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