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Registerestimate(test-ref) in bear [🇷 for BE/BA]
posted by yjlee168 
– Kaohsiung, Taiwan, 2018-12-12 19:58 (2755 d 10:17 ago) – Posting: # 19686
Views: 18,419
Dear mittyri & all others,
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:
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.
❝ ❝ 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 v2.9.6:- created by Hsin-ya Lee & Yung-jin Lee
Kaohsiung, Taiwan https://www.pkpd168.com/bear
Download link (updated) -> here
All the best,
-- Yung-jin Lee
bear v2.9.6:- created by Hsin-ya Lee & Yung-jin Lee
Kaohsiung, Taiwan https://www.pkpd168.com/bear
Download link (updated) -> here
Complete thread:
- PE vs GMR roman_max 2018-12-10 17:53
![[Mix]](https://static.bebac.at/img/mix.png "open in Mix view")
- PE vs GMR Ohlbe 2018-12-11 00:28
- PE vs GMR roman_max 2018-12-12 16:31
- PE vs GMR in Bear mittyri 2018-12-12 17:40
- estimate(test-ref) in bearyjlee168 2018-12-12 18:58
- estimate(test-ref) and lsmeans in bear mittyri 2018-12-12 22:57
- estimate(test-ref) and lsmeans in bear yjlee168 2018-12-13 12:20
- estimate(test-ref) and lsmeans in bear mittyri 2018-12-12 22:57
- estimate(test-ref) in bearyjlee168 2018-12-12 18:58
- PE vs GMR in Bear mittyri 2018-12-12 17:40
- PE vs GMR roman_max 2018-12-12 16:31
- PE vs GMR mittyri 2018-12-11 16:30
- PE vs GMR roman_max 2018-12-12 16:41
- PE vs GMR ElMaestro 2018-12-12 21:39
- PE vs GMR roman_max 2018-12-13 23:11
- SPSS vs lm mittyri 2018-12-14 15:35
- SPSS vs lm roman_max 2018-12-15 13:37
- SPSS BE code mittyri 2018-12-15 22:07
- SPSS vs lm roman_max 2018-12-15 13:37
- PE vs GMR ElMaestro 2018-12-14 16:11
- SPSS vs lm mittyri 2018-12-14 15:35
- PE vs GMR roman_max 2018-12-13 23:11
- PE vs GMR Ohlbe 2018-12-11 00:28
Ing. Helmut Schütz