Sentence examples for more likely causal from inspiring English sources

Importantly, we made in our IRT analysis a distinction between items that are treated as effect indicators (D 1 9, G and burden 'sum' scores) and items that are more likely causal indicators (B1 B8, S) [ 10, 24, 33].

Therefore, the NV-Tambun strain is the more likely causal agent for the initial outbreak among pigs in Tambun, resulting from an infection acquired from a yet-to-be-identified source.

The results from our 6-month (summer and fall) subchronic CAPs inhalation study in a mouse model of atherosclerosis, (illustrated in Figures 1 and 3) indicate that inhalation exposure to Ni, compared with V, is a more likely causal factor for the exacerbation of cardiac disease.

This finding suggests that masking of the TTAGGG repeat sequence by binding of excess POT-1 even after opening of the telomere loop is sufficient to block signaling through ATM and p53, and that exposure of the otherwise concealed TTAGGG repeat sequence after POT-1 knock-down is a more likely causal event.

The similarity in derived phenotype among humans, Japanese macaques, blue-eyed black lemurs, and brown spider monkeys makes it more likely that causal sites in the non-human primates lie within regions containing variation influencing OCA2 and other known pigmentation genes in humans.

If the data suggested that more of the companies being funded today were exiting, it was more likely (though not causal) that investors were picking winners.

Our discussion focuses on the results controlling for own wage, for these results are more likely to indicate causal effects related to marriage markets.

The data can be separated into two sets; one set of mutations is extracted from the COSMIC database, which is filtered for mutations more likely to be causal, and the rest of the data consists of mutations identified from large-scale sequencing efforts comparing tumor samples to matched normal samples of the same individual [23], [24].

Moreover, it is believed that associated rare variants are more likely to be causal.

In silico predictions first give an orientation toward a more likely neutral or causal effect.

Intuitively, strong associations are more likely to be causal than weak ones (Hill 1965).