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We used Fisher's exact tests and Wilcoxon tests based on the original unimputed data to assess binary and continuous confounders respectively.
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Cost vectors associated with binary and continuous variables.
Both binary and continuous traits were simulated.
Our methodology only requires summary statistics and is able to handle both binary and continuous traits.
For FBAT-GEE, both binary and continuous phenotypes can be entered.
Binary and continuous outcomes were analyzed separately.
Analyses are presented separately for binary and continuous biomarkers.
To test this hypothesis we transformed the metabolic data into a binary matrix and compared the binary and continuous results.
Statistical analysis: Unadjusted ORs and mean differences were calculated for binary and continuous outcomes, respectively.
We used logistic and normal regression models for binary and continuous outcomes, respectively.
Correlation coefficient is not well suited for comparing binary and continuous variables.
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