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The fact that the instrumental variable analysis an analysis based on strong assumptions but different ones than the "conventional" approach shows an increased risk of postoperative pneumonia associated with proton pump inhibitors, suggests that this association is unlikely to be a consequence of unmeasured confounding.
However, most of them either rely on strong assumptions on covariance matrices, or do not produce nested solutions.
The present method is adaptive and does not rely on strong assumptions about the model of the plate.
While useful in a variety of applications, the validity and interpretation of IV estimates depend on strong assumptions, the plausibility of which must be considered with regard to the causal relation in question.
However, most of these approach rely on strong assumptions that need to be verified to ensure that resulting models are accurate and reflect the intended property which can have serious consequences for decisions based on such flawed models.
"We saw that there was a debate in the scientific community about the global warming hiatus, and we realized that the assumptions of the classical statistical tools being used were not appropriate and thus could not give reliable answers". More importantly, the Stanford group's technique does not rely on strong assumptions to work.
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The M&M theory holds only in the presence of strong assumptions on market imperfections.
Estimates of apprehension rates are derived from statistical analyses that rely on fairly strong assumptions about immigrants' behavior: How many times do they try to get in after being caught?
Such studies especially on Chinese HCC patient samples take on a strong assumption that pericancerous liver tissue of HCC is normal, while this in a large percentage is wrong.
However, uncertainty in estimating global water cycle change was quite large in all these studies as calculations were based on rather strong assumptions such as zero salt fluxes between the mixed layer and the deeper ocean9 or advection/diffusion of salinity anomalies only along isopycnal surfaces10,12.
As the use of hazard functions depends on several strong assumptions (i.e., constant baseline hazard, proportionality), the reporting of tests is critical to understanding the reliability of empirical monopsony studies.
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