The phrase "affected by the conditional" is correct and usable in written English.
It can be used in contexts discussing situations or outcomes that depend on certain conditions being met.
Example: "The project's success is heavily affected by the conditional factors outlined in the proposal."
Alternatives: "influenced by the condition" or "determined by the conditional factors".
A study using a larger group of physicians might uncover additional forms of behavior that are affected by the risk of malpractice litigation, and conditional factors that may affect the relationship between physicians' malpractice litigation risk and behavior.
For this reason, in this first part of the study LD helps us to identify, more easily, the region which contains the genes associated with MS but fine mapping is harder as a result and the power of our conditional tests is affected by the strong LD in this population.
Likewise, sensitivity analysis was undertaken to detect if the identification of conditional independence assumption was satisfactory or affected by the dummy confounder or the estimated Average Treatment Effect on the Treated (ATT) is robust to specific failure of the CIA.
Ledee has been more affected by the trade speculation than any other Yankee because he was part of the conditional trade to Detroit for Gonzalez.
Three pairs of epistatic QTLs were completely affected by the seven traits because of detection in unconditional mapping but no-detection in conditional mapping.
In partial equilibrium, we expect no change in earnings, conditional on tenure, due to the small number of individuals affected by the policy change in the experiment.
Verdoliva et al. [9] explored a new feature-based technique using a conditional joint distribution of residuals for localization, which is computationally efficient and is not affected by the scene content.
The first is the conditional independence assumption (CIA), or unconfoundness, which implies that selection for the treatment is exclusively based on observable characteristics, X, not affected by the treatment.
Our separate analyses of encounters/non-encounters and conditional abundance (given at least one detection) allow us to reach some conclusions that are not affected by the possibility of changes in the pattern of underreporting non-encounters.
