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The short-term window is used for variance estimation.
All analyses have to be repeated for each plausible value and replication techniques have to be used for variance estimation (e.g., Jackknife 2 in PIRLS; see Foy and Kennedy 2008).
Taylor series linearization was used for variance estimation.
According to the survey design, all the analyses were run on weighted data where the Taylor linearisation series (TLS) (30, 31) was used for variance estimation.
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Estimates and simulated values agree very well; some bias for small values can be attributed to the EM-REML algorithm used for variance component estimation.
In Cyber-T (Baldi and Long, 2001), a posterior variance in Bayesian framework is used for the variance estimation of a gene combining a prior variance from neighboring genes and a data variance of the gene.
The STATA "subpop" command was used for correct variance estimation of estimates, and different sampling designs in 1997 to 2005 versus 2006 to 2008 were accounted for by the Integrated Health Interview Series.
Such survey designs inflate the standard errors of any point estimates, and a Taylor linearization was used for all variance estimation.
To account for the complexities of the multi-stage stratified clustered design the BOOTVAR program which was originally developed by Statistics Canada and modified by Lam Lam M Personal Communicationon) was used for the variance estimation.
For purposes of comparison, we also applied the CCA-based procedefinedfined by Peng et al to the data, using 1000 bootstraps for variance estimation.
We used the method 'blind' for variance estimation and p-values were corrected for multiple testing using the Benjamini-Hochberg FDR procedure [ 55].
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