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In general terms, both methods tend to overestimate the spanwise distribution of forces and pressures.
While both methods tend to overestimate ages under the intermediate model, the maximum likelihood estimate is significantly less inflated than the ad hoc estimate.
However, both methods tend to multiply the transposable elements or transfer multiple copies of inserted plasmids into the recipient genome.
For widely distributed parameters, we see that both methods tend to minimize the amount of stimulation, as this results into little response variances at maximal distances between expected model responses.
Similar results were obtained by Kao [ 42], who detected that ML methods tend to be more powerful and differences between both methods tend to be larger as the marker interval becomes wider and the QTL position moves from boundary to the middle of an interval.
Similar(55)
When the SNR increases both methods tends to exhibit the same performance.
Both methods tended to yield significance more frequently in depression rating scales and subscales than in outcomes related to somatic and painful physical symptoms.
Neither exact tests nor logistic regression models allow for simultaneous adjustment for small cell counts and litter; bias inherent in both methods tends to overestimate significance.
The mean difference between the mJSW (dMB or dC) and insert thickness (d0) was positive for both methods (Table II), meaning that both methods tended to overestimate the actual minimum insert thickness that was measured from the explanted tibial inserts.
However, both these methods tend to underestimate follow-up, and a more robust measure is based on the reverse KM estimator (Schemper and Smith, 1996), that is the KM method with the event indicator reversed so that the outcome of interest becomes being censored.
With respect to the distance from the CEJ to the AC, it must be kept in mind that both computer-assisted methods tend to overestimate the real distance on an average of 1.5 to 2.0 mm.
More suggestions(15)
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