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Table 4. Effect of Covariate Analysis on Variance (ω2)

PPVt = the total population parameter variability estimated without covariate analysis; BSVP = the between-subject variability predictable from covariates; BSVR = the random BSV estimated on a parameter when covariate analysis is included; BOV = the between-occasion variability (PPVt = BSVP + BSVR + BOV). The ratio of the between-subject variability predictable from covariates (BSVP) to the total population parameter variability obtained without covariate analysis (PPVt) (i.e ., BSVP/PPVt = the fraction of the total variability in the parameter that is predictable from covariates.

CL = clearance; V = volume of distribution; Telixer = absorbtion half-life of elixir; Ftrigly = relative bioavailability of triglyceride base compared to elixir; Fcap = relative bioavailability of capsule compared to elixir.

Table 4. Effect of Covariate Analysis on Variance (ω2)
Table 4. Effect of Covariate Analysis on Variance (ω2)
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