At the same time, it does not interfere with estimating an intervention's causal effect, even if there is imperfect adherence, as when not all those offered the intervention choose to enroll.
In order to facilitate the identification of causal variants, we designed a simple computational method called the "preferential linkage disequilibrium (LD)" approach, which follows the variants discovered by GWASs to pinpoint the causal variants, even if they are rare compared with the discovery variants.
We should mention that, in this literature review, we transcribe terminology employed by authors which reflects causal relationships even if cross-sectional databases are used or some endogeneity might be at play.
A system can have a disposition to be caused by Fs to do M, without having a disposition to be caused by Gs to do M, if F and G have distinct causal powers even (if they are co-extensive).
To begin with, a process may be a causal process even if it does not in fact transmit any mark, as long as it is true that if it were appropriately marked, it would transmit the mark.
In other words, the DAG representing the true causal structure exists even if we do not know what it is, and all causal inferences based on statistical models are implicitly based on a causal structure – the DAG approach simply makes the assumptions explicit.
We know that a causal chain exists, even if we cannot reconstruct it.
Evidential decision theory has weaker metaphysical assumptions than has causal decision theory, even if causation has impeccable metaphysical credentials.
If our best scientific account posited states that share many features with beliefs, such as similar causal roles, then even if the two taxonomies pulled apart in certain cases, we may still regard folk psychology as, in some sense, vindicated.
Thus, one cannot derive anything like Reichenbach's common cause principle or the causal Markov condition from the law of conditional independence, and one therefore would not inherit the richness of applications of these principles, especially the causal Markov condition, even if one were to accept the law of conditional independence.
