For univariate model, we included each SNP separately.
To introduce these large-scale changes into the model, we included a cluster birth/death process.
In the second model, we included all five linear decomposition methods in their best variants (i.e., the high-pass versions if applicable) as well as the nothing condition.
In 2002 (classic model), we included the 12-h shifts made by doctors who were assigned to the ED by law (doctors up to the age of 55).
For the non-behaviorally adjusted model, we included a weight statement to adjust for the greater number of locations assigned to the encamped state.
For identifying the hours of medical work devoted to treating these patients: In 2002 (classic model), we included the 12-h shifts made by doctors who were assigned to the ED by law (doctors up to the age of 55).
In each model, we included trap pair (i.e. the two traps from the same night) nested in trap location as a random term.
To assess these effects, in each regression model, we included two of the significant main effects from the univariate analyses as well as their interaction term.
In an additional model we included two markers of the neighborhood sociodemographics taken from Census data: the proportion of the neighborhood who are White and the median household income of the neighborhood.
In the second model, we included only parous women.
Thus, for our model we included age as covariate.
