Therefore, using these estimates, we then selected simulation data that jointly generated the same switching rates and then obtained the associated correlation values that were used to generate these same values (Fig. 3).
To the extent that a study reported risk estimates stratified by copollutant, we selected risk estimates associated with single-pollutant models, as the studies specified this model most frequently; by doing so we maximized the number of study-specific estimates available for pooling.
We selected estimates derived using the original reference period over estimates derived using the alternative reference periods that were used in the sensitivity analyses.
We selected estimates that were derived by using models with uniform adjustments to all cities.
In order to validate the plasma-Seq gene-specific copy number estimates with another approach we selected a subset of samples (CRPC1, CRPC2, CRPC5, CSPC1, CSPC1_2, and CSPC2) for validation of the AR copy-number status with qPCR.
To obtain robust estimates in subsequent analyses, we selected only HPV types represented by at least five HPV-positive women with chlamydia co-infection: HPV16, -18, -31, -51, -52, -53, -56, and -66.
To estimate the corner frequency, we selected stations located at an intermediate distance from the source.
In the training stage where the SI parameters are estimated, we randomly selected and used the speech data of five sentences (approx. 160 k frames) uttered by 56 speakers (26 males and 30 females) from set A in the corpus.
We selected dN estimates that were derived from analyses of exactly five sequences.
