## estimate(test-ref) in bear [R for BE/BA]

Dear mittyri & all others,

» » As Yung-jin explained me that PE in R/bear is not a direct arithmetic difference, and it is estimated in a specific linear model in ANOVA.
» Sounds strange to me. Do we have the ratio of LSMeans, the ratio of GeoMeans and something else?
» Let's wait for Yung-jin's comments

Estimate(test-ref) in bear is not obtained directly from the difference of mean values or lsmean. It is obtained from one of coefficients of lm() function. I cut the outputs from a test run and show it as follows:    ---  Summary Pivotal Parameters of BE Study  ------------------------------------------  Dependent Variable: log(Cmax)            ------------------------------------------         n1(R -> T) = 7         n2(T -> R) = 7           N(n1+n2) = 14     Lower criteria = 80.000 %     Upper criteria = 125.000 %           MEAN-ref = 7.32951          MEAN-test = 7.40146                MSE = 0.01780339                 SE = 0.05043155 Estimate(test-ref) = 0.07195028 ######  testing  ###### Call: lm(formula = log(Cmax) ~ seq + subj:seq + prd + drug, data = TotalData,     na.action = na.exclude) Residuals:      Min       1Q   Median       3Q      Max -0.13876 -0.08473  0.00000  0.08473  0.13876 Coefficients: (14 not defined because of singularities)             Estimate Std. Error t value Pr(>|t|)    (Intercept)  7.48268    0.10086  74.187   <2e-16 *** seq2        -0.06357    0.13343  -0.476   0.6423    prd2        -0.05095    0.05043  -1.010   0.3323    drug2        0.07195    0.05043   1.427   0.1792    ... ---
please browse "Interpreting regression coefficient in R" for more details (the explanations for the coefficient x32). Does anyone know the name of this coefficient in statistics? Thanks.

All the best,
-- Yung-jin Lee
bear v2.9.0:- created by Hsin-ya Lee & Yung-jin Lee
Kaohsiung, Taiwan https://www.pkpd168.com/bear