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13When carrying out this test it is important to control for dependence between the two estimators arising from the fact that the two regressions are estimated using the same sample.
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They estimate the interaction using a weighted average of the case-only and case control estimators where the weights are based on the difference between the two estimators and the variance of the robust case control estimate.
Since both Watterson's θ and πs are estimators of 4Neμ, under a null model of neutral evolution the difference between the two estimators should be zero.
We considered both approaches; however, noted little difference in performance between the two estimators of the variance-covariance matrix.
We then constructed Dm based on the difference between the two estimators (see eqs. 5 and 6).
To illustrate the differences between the five estimators, consider the following artificial example of ten patients who are admitted to the hospital with CAP.
The higher the accordance between the three estimators, the higher the quality index and the more precise the calculated cycle length).
The two estimators we sought to evaluate (and their associated CIs) were a simple product-based estimator and revised product-based estimator.
No direct causal dependence between the two quantities exists.
The similarities and dependence between the two signals were examined by cross-correlation analysis [ 10].
Allowing conditional dependence between the two patient indications yielded virtually identical results (data not shown).
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