The "independent sites" assumption is admittedly a convenient approximation, a simplification that is likely valid for a large majority of potential site interactions but invalid for a small fraction of interacting sites.
We provide a prediction model that is valid for the majority of short children worldwide in whom growth-supportive therapies are considered, despite the lack of historical auxological data on the child and without the need for any extensive investigations.
To demonstrate that the iNKT cell cross-reactivity between KRN7000 and αGalCer analogs was not limited to the clones tested, but valid for the majority of iNKT cells, we performed ex vivo tetramer staining of PBMCs from healthy donors with variable iNKT cell frequencies (Figure 4A).
While this assumption is valid for the majority of existing models, it would be possible to extend the algorithm to handle terminators with different degrees of read-through.
The proportional hazards assumption (parallel lines of log (-log event)) versus log of event times) proved to be valid for the majority of the variables except for BMI, age, marital status, education, smoking status, year of infarction, AMI type and ACEIs/ARBs (medication prior infarction).
The light output of stars rises as a rather high power of their mass according to a mass luminosity relation that is valid for the vast majority of stars whose masses are known, while their supply of nuclear energy is only directly proportional to the mass.
We found that this Naive Bayes assumption was valid for the vast majority of co-regulators, indicating that most co-regulators act independently on their shared target.
A minor drawback of our design is that subjects with diabetes below 40 years of age are not included but our data are valid for the vast majority of Swedish diabetic subjects.
The assumption of conditional independence enables a reduction in model complexity allows efficient estimation of regulatory parameters using existing datasets, and further, and we show that the independence assumption is valid for the vast majority of regulatory programs.
