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For FBAT-GEE, both binary and continuous phenotypes can be entered.
Power estimations when sib pairs, instead of nuclear families, are considered are listed in Table 5 and 6 for binary and continuous phenotypes, 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.
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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