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Life table estimation method was used to derive the estimated hazard rate for any mood or anxiety disorders following pregnancy.
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The interference analysis has been extended to the case of frequency selective environments where we have proposed a table-based estimation method as a computationally simpler alternative to the numerical evaluation; as the latter requires huge computational efforts.
Life table estimation (using proc lifetest method) was used to derive the estimated hazard rate for any mood or anxiety disorders, with the time since pregnancy as the starting time point.
On the one hand, standard life table estimation and product limit method are improved on the basis of such conversion frequency, enabling accurate estimation of various censoring samples.
Table 1 Computational complexity Estimation method Computational complexity The Vogt method O(N−s s −2s c + 1) MLE O(N−s s −2s c + 1) BPE O | n ̂ BPE − n ¯ | + 2 MAP (with a uniform prior) O((logc)F(c)) MAP (with a non-uniform prior) O | n ̂ MAP − n ¯ | + 2. Computer simulations are performed to check and extend the analytical results of the previous section.
In generation 10, however, accuracies were no longer different between the two structures for a given genetic architecture and estimation method (Table 5).
If all polymorphisms are considered, estimates of α range from 12%41%%, depending on the estimation method used (Table 3).
Table 4 Performance of the estimation method: Computation time.
Table 3 Performance of the estimation method: Precision.
Table 1 Complexity comparison Channel estimation method Multiplication Addition FD-LS O(M) O(1) FD-MMSE O(M3) O(M3) FD-OLR-MMSE O(r M2) O(r M2).
Before trimming, propensity score weights for the unexposed group differed by estimation method and scenario (Table 1).
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