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Because our estimation of the prevalence of bacterial co-infection was based on a number of assumptions, we also performed a sensitivity analysis in which the prevalence of co-infection was reduced by half.
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However, this fact does not affect our estimation of effectiveness and efficiency because these health areas would not have contributed to any epidemic signal.
We believe this is the most likely scenario because our best estimation of xbar (1.4) is extremely close to the step size (1.48).
This type of pathological thinking endures, in our estimation, because of two common analytical pitfalls: the tendency to treat terms like "Islamist," "Islamic democracy," and "democracy" as monoliths, and the even more troubling impulse to view Islam itself as a rigid and authoritarian faith.
These estimates are likely overestimates because our method of estimation of return rates has an intrinsic bias towards one [ 34], so the true values may be lower than shown in Table 2.
This is slightly lower than our estimation because this estimation did not take the upregulation of D2 receptors into account.
Hence the oversampling of Spanish bankrupt firms in the unweighted sample enhances the internal validity of our estimations because, given the rarity of bankruptcy filings, a simple random sample will not yield enough bankruptcies to implement statistical analyses, while the correction of this sampling bias with the weighted sample ensures the external validity of our results.
It should be pointed out that our estimation here is somewhat rough because of the mentioned above.
Because the estimation of range shifts between every two adjacent envelopes is independent of each other.
The coordinate-descent approach is computationally expensive because the estimation of the sparse vector requires cycling through all the components at each iteration of the algorithm.
This complexity is high because the estimation of vector θ requires the inversion of the matrix H H H with dimensions M×M.
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CEO of Professional Science Editing for Scientists @ prosciediting.com