The phrase "assumption of treating" is not correct and may cause confusion in written English.
It could be used in contexts discussing the presumption or belief regarding a particular treatment or approach, but it lacks clarity.
Example: "The assumption of treating the issue as minor may lead to larger problems down the line."
Alternatives: "presumption of handling" or "belief in addressing".
The assumption of treating features as independent of each other makes Naive Bayes highly efficient (Dai et al. 2007).
However, the commonly used assumption of treating open-pollinated offspring as half-sib family is by far the greatest drawback of this method as most genetic parameters (e.g., breeding values, trait heritabilities, and gain estimates) are upwardly biased and this was clearly demonstrated in many studies including the present one [ 16].
Nevertheless, statistical techniques always rely on the assumptions on linear separability, multivariate normality, and independence of the predictive variables; unfortunately, many of the common models of treating the financial markets problems violate these assumptions.
As per the assumption, the destructive metabolic apoptosis of treated tumor cell is regarded as equivalent to the therapeutic effect Y, and it is easy to account for the reason why the most evident therapeutic effect occurs at an intermediate dose cumulant I.
The mathematical model is based on extended Dupuit Forchheimer assumption and treats the spatial location of recharge basins as additional parameter.
However, many measurement models in real-life target tracking scenarios do not satisfy these prerequisite of assumption, which are treated as nonstandard measurement model.
In our case, because follow-up visits took place months apart, we decided against such an assumption, and instead treated observations of stage 2 progression as interval-censored, i.e. considered simply that progression had occurred within a time interval defined by the visit when stage 2 was confirmed and the previous visit (when it was known that the patient had not yet progressed).
Because relaxing that assumption would block the derivation of almost all the important results in Bayesian epistemology, most Bayesians maintain the assumption of logical omniscience and treat it as an ideal to which human beings can only more or less approximate.
As a central assumption of our study we treated the cell proliferation rate as an externally controlled quantity that is adapted during the different environmental and developmental conditions.
Sample size estimation was based on the assumption of 32% and 49% failure in treated (14-day PQ) and untreated individuals, as recorded previously in other studies over a 9 month post treatment follow-up [7], [13].
To test for endogeneity and support for the assumption of strong ignorability, we treated the problem as a two-equation system.
