To inform the parameter of RR of developing cancer given treatment modality (i.e. relative risk of developing cancer given patients have undergone excision vs. no excision), we conducted a comprehensive systematic literature search to identify clinical studies that investigated the malignant transformation rate (MTR) given treatment modality (Additional file 1: Table S3).
In empty models (with no predictors), we conducted dyadic analyses on the valence of one's own event and the event shared by romantic partners, respectively.
While we did not expect the quota sampling method to have power or type I error estimates that differ from the traditional one-stage sampling design under no misspecification, we conducted the simulation study for this study design method to confirm there was no impact on power and type I error.
For all questions with yes-no-n/a responses, we conducted t-tests to determine if the reported difference in proportions within each utility was significant.
For both the default (migration with no barrier) and no migration scenarios, we conducted 100 runs for 100 years.
To check for a female preference for one of the foraging task apparatuses, the day before each No-Interaction test trial we conducted control trials identical to test trials except that no males were placed in the lower compartment (Table 1, Table 2).
To investigate the potential for survival of this species on alternative hosts in the absence of grain, we conducted no-choice feeding assays with twigs and seeds of trees, and seeds of grasses, forbs, and shrubs, commonly encountered on Kansas prairie landscapes where R. dominica has been captured.
We conducted no-choice mating trials where a virgin hybrid F1 male or female was paired with a virgin pure species individual of the opposite sex.
During a time when there was no red tide, we conducted pre- and postshift baseline PFTs and symptom surveys.
A variant with an association P > 0.05 does not imply the variant is not associated; rather, it means that, assuming the variant has no effect, if we conducted the same study 100 times, we would see the result in at least 5% of instances.
