Our regression model included years of residence in the contaminated water district, sex, age, growing own vegetables, smoking, and consuming bottled water.
The initial model included year as a categorical covariate and mating date as a continuous covariate.
However, fledging success did vary among years (0.89 in 2009, 0.75 in 2010, and 0.59 in 2011) and the model including year had the lowest AIC and the highest ω values (Table 4, n = 53).
The third and final model was used to assess whether there were temporal trends in prevalence in different PrP genotypes (i.e. the initial model included year and PrP genotype with an interaction between them).
The first model was used to assess temporal trends in prevalence, and whether these differed between surveys (i.e. the initial model included year and survey with an interaction between them).
Thus, while the variables entered into our model, including year, were significantly correlated, many other factors as described above may also affect the changes seen in BW over time.
The model included year of surgery, age at surgery, number of positive lymph nodes, hormone receptor status, HER2 overexpression, Ki-67 LI, peritumoral vascular invasion (PVI) and pathological response.
Other covariates included in the multivariable Cox models included years of age (at surgery), tumor size (cm), histologic grade of tumor.
As a result, we could not construct models including years to death that were directly comparable to other traits for these maternal reproductive performance measures.
Significant predictors of bone lead in multivariate models included years living in Mexico City, lower consumption of high calcium content foods, and nonuse of calcium supplements for the patella and years living in Mexico City, older age, and lower calcium intake for tibia bone.
