AIC_BANOVA {bear}R Documentation

Akaike information criterion (AIC) method and ANOVA

Description

This method selects data points to estimate lambda(z) based on the minimun AIC values. It starts with the last three data points from the concentration -time profile, performing log-linear regression to calculate the slope of that tail portion of the concentration-time curve. And then the last 4 data points, the last 5 data points, on and on until it reaches the data point right after Cmax. Thus, this method will not include the data point of (Tmax, Cmax).

Statistical analysis (ANOVA(lm), 90CI...): With a two-treatment, two-period, two-sequence randomized crossover design, ANOVA statistical model includes factors of the following sources: sequence, subjects nested in sequences, period and treatment. ANOVA will be applied to obtain estimates for the adjusted differences between treatment means and the standard error associated with these differences. Log-transformed BA measures will also be analyzed.


[Package bear version 2.3.0 Index]