In later extensions to our basic model, we additionally condition on paternal occupation, so that the difference in unionization between occupations does not identify the IV model.
To allow for an adequate interpretation of the interactions effects in the models, we additionally calculate conditional marginal effects and marginal effect plots for continuous predictors (Royston 2013).
In order to refine the genetic model, we additionally tested selected SNPs using a 1-degree-of-freedom test to examine for additive, dominant, or recessive allelic effects.
In order to assess how much the PFM prediction benefits from the combination of different sequence derived features through the SVR model, we additionally implemented a nearest neighbor based approach that screens the database of TFs with known PFMs and simply transfers the PFM from the one TF with the most similar binding domain sequence.
In a separate model, we additionally adjusted for baseline diabetes, hypertension, CHD, history of CHF and diuretic use.
In this murine model we additionally surveyed for Ras family and Braf mutations as these have not been previously reported.
In a separate model, we additionally adjusted for all other risk factors identified in the multivariable analysis.
For the hourly exposure response models, we additionally controlled for physical activity using actigraph data for the current hour.
To illustrate the benefits of the sum-of-pair gap cost model, we additionally compared the performance of clasp using both models in a snoRNA homology search experiment.
In two separate models, we additionally included age as a continuous variable and as a cubic spline curve with three knots, respectively.
