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Thus, we can re-write the covariance between the computed statistics for two SNPs as follow: Cov (S i, S c ) = Cov (X i ′, X c ′ ) = Cov (L X i, L X c ) This indicates that the covariance between the two marginal statistics corrected for population structure follows an MVN where the correlation between the two statistics is the correlation between the transformed genotype for both SNPs.
The complete list of computed statistics for all transcription factors is summarized in Additional file 4. The top five transcription factors are listed in Table 1.
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To control for the difference in group size, we used a subsampling approach that repeatedly selects a random subgroup of patients, matched in size with the control group, and re-computed statistics for this smaller, matched data set (Supplementary material and Supplementary Table 9).
SPSS was used to compute statistics for electron microscopy data.
Custom contrasts were accomplished by specifying an L matrix, and computing statistics for pairwise comparisons based on the asymptotic chi-square distribution of the likelihood ratio.
Custom contrasts were accomplished by specifying an L matrix, and computing statistics for pair wise comparisons based on the asymptotic χ distribution of the likelihood ratio.
Streaming algorithms for computing statistics on the data.
We also computed descriptive statistics for the factors under investigation.
We computed descriptive statistics for the questionnaire data and transcribed the audio-recorded interviews verbatim.
We initially computed descriptive statistics for all items.
We computed reliability statistics for: (i) The number of unique problems recorded.
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