For example, in model 1, the odds of financial enterprises forming interlocking directorates are 2.39 times more likely than industrial enterprises (the reference group).
For example, in model A, to capture about 330 of the 812 causal variants in the top 1000 SNPs, we need a study with at least 25,000 cases and 25,000 controls.
For example, in model (8) of Figure 3, g and y1 are unconditionally independent; however, conditioning on y2 will result in a nonzero partial correlation between them.
One more inpatient admission, for example in model 4, is associated with an increase of $13.0 in total costs, which is also the average incremental cost.
For example, in Model 1 Table 2, the odds ratio of coverage was more than two folds in the Northern zone.
For example, in Model A, Patient #6 (ranked 1st) has the highest estimated risk score and Patient #19 (ranked 19th) has the lowest estimated risk score.
As an example, in model 3 we used the parameters inferred by maximum likelihood that are shown in Table 2 to simulate 10,000 SNPs per bootstrap by means of Monte Carlo methods.
For example, in model 1, an increase in the 90th centile of noise of 10 dB was associated with cerebrovascular disease and heart failure, with a marginal association for ischemic heart disease.
For example, in model 8 with 300 families, the powers are 65.0% and 66.6% for the two interactions with (1) and (2), while they are 65.9% and 67.5% with (1)_hwe.
