lambda_z estimation [🇷 for BE/BA]
Dear Ace,
We've tried to implement your methods (codes) into bear now. But we find that the difference between your method and WinNonlin. Here is your method as R code:
And we got
Your method picked 6 data points for this example. However, WinNonlin
picked 5 data points as follows:
What are we missing here? Thanks.
We've tried to implement your methods (codes) into bear now. But we find that the difference between your method and WinNonlin. Here is your method as R code:
b<-c(0,0.25,0.5,0.75,1,1.5,2,3,4,8,12,24)
c<-c(0,36.1,125,567,963,1343,1739,1604,1460,797,383,72)
dat <- data.frame(time=b,conc=c)
n_lambda=1
r.adj=0
for (i in (nrow(dat)-3):which.max(dat$conc)) {
if (r.adj - round(summary(lm(log(conc)~time,dat[i:nrow(dat),]))$adj.r.squared,4) <
(0.0001)) {
n_lambda <- nrow(dat)-i+1
r.adj <- summary(lm(log(conc)~time,dat[i:nrow(dat),]))$adj.r.squared
}
}
And we got
Call:
lm(formula = log(conc) ~ time, data = dat[i:nrow(dat), ])
Residuals:
7 8 9 10 11 12
-0.057481 0.009958 0.064143 0.051802 -0.088021 0.019598
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 7.815044 0.042438 184.15 5.22e-09 ***
time -0.148249 0.003646 -40.66 2.19e-06 ***
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Residual standard error: 0.0677 on 4 degrees of freedom
Multiple R-squared: 0.9976, Adjusted R-squared: 0.997
F-statistic: 1654 on 1 and 4 DF, p-value: 2.186e-06
Your method picked 6 data points for this example. However, WinNonlin
picked 5 data points as follows:
Model: Plasma Data, Extravascular Administration
Number of nonmissing observations: 12
Dose time: 0.00
Dose amount: 80000.00
Calculation method: Linear Trapezoidal with Linear/Log Interpolation
Weighting for lambda_z calculations: Uniform weighting
Lambda_z method: Find best fit for lambda_z, Log regression
Summary Table
-------------
Time Conc. Pred. Residual AUC AUMC Weight
-------------------------------------------------------------------------------
0.0000 0.0000 0.0000 0.0000
0.2500 36.10 4.513 1.128
0.5000 125.0 24.65 10.07
0.7500 567.0 111.2 71.04
1.000 932.0 298.5 240.7
1.500 1343. 867.3 977.3
2.000 1739. 1638. 2350.
3.000 * 1604. 1625. -21.46 3309. 6495. 1.000
4.000 * 1460. 1399. 60.79 4841. 1.182e+004 1.000
8.000 * 797.0 768.3 28.73 9355. 3.625e+004 1.000
12.00 * 383.0 421.8 -38.84 1.172e+004 5.820e+004 1.000
24.00 * 72.00 69.83 2.172 1.445e+004 9.614e+004 1.000
*) Starred values were included in the estimation of Lambda_z.
Final Parameters
---------------
Rsq 0.9979
Rsq_adjusted 0.9972
Corr_XY -0.9990
No_points_lambda_z 5
Lambda_z 0.1499
Lambda_z_lower 3.0000
Lambda_z_upper 24.0000
HL_Lambda_z 4.6246
Tlag 0.0000
Tmax 2.0000
... (truncated after this line)
What are we missing here? Thanks.
—
All the best,
-- Yung-jin Lee
bear v2.9.2:- 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 v2.9.2:- created by Hsin-ya Lee & Yung-jin Lee
Kaohsiung, Taiwan https://www.pkpd168.com/bear
Download link (updated) -> here

Complete thread:
- bear v1.0.0 - a data analytical tool for ABE in R yjlee168 2008-07-12 20:53
- bear v1.0.0 for R - first impressions Helmut 2008-07-14 04:12
- bear v1.0.0 for R - first impressions yjlee168 2008-07-14 10:26
- bear v1.0.0 for R - first impressions Helmut 2008-07-14 14:02
- bear v1.0.0 for R - first impressions yjlee168 2008-07-14 18:12
- bear v1.0.0 for R... Helmut 2008-07-14 18:56
- bear v1.0.0 for R... yjlee168 2008-07-14 19:30
- bear v1.0.0 for R... Helmut 2008-07-14 20:35
- bear v1.0.0 for R... yjlee168 2008-07-14 19:30
- bear v1.0.0 for R... Helmut 2008-07-14 18:56
- bear v1.0.0 for R - first impressions yjlee168 2008-07-15 09:44
- bear v1.0.0 for R - first impressions yjlee168 2008-07-14 18:12
- bear v1.0.0 for R - first impressions Helmut 2008-07-14 14:02
- bear v1.0.0 for R - first impressions yjlee168 2008-07-14 10:26
- bear v1.0.0 - a data analytical tool for ABE in R martin 2008-07-14 12:18
- bear v1.0.0 - a data analytical tool for ABE in R yjlee168 2008-07-14 19:02
- bear v1.0.0 - a data analytical tool for ABE in R Aceto81 2008-07-15 10:07
- bear v1.0.0 - a data analytical tool for ABE in R yjlee168 2008-07-16 07:22
- bear v1.0.0 - a data analytical tool for ABE in R Aceto81 2008-07-16 09:47
- bear v1.0.0 - a data analytical tool for ABE in R yjlee168 2008-07-16 21:32
- bear v1.0.0 - a data analytical tool for ABE in R Aceto81 2008-07-16 09:47
- lambda_z estimationyjlee168 2008-09-23 12:13
- lambda_z estimation d_labes 2008-09-23 14:41
- lambda_z estimation yjlee168 2008-09-24 22:41
- lambda_z estimation Aceto81 2008-09-25 10:56
- lambda_z estimation yjlee168 2008-09-25 21:00
- lambda_z estimation yjlee168 2008-09-26 08:03
- lambda_z estimation Aceto81 2008-09-26 10:25
- lambda_z estimation yjlee168 2008-09-28 00:08
- lambda_z estimation yjlee168 2008-09-29 13:32
- WinNonlin 5.2.1 vs. 6 beta Helmut 2008-09-29 15:54
- WinNonlin 5.2.1 vs. 6 beta yjlee168 2008-09-29 18:45
- WinNonlin 5.2.1 vs. 6 beta --> new finding yjlee168 2008-09-30 08:10
- Example 4 in SASophylistic d_labes 2008-09-30 09:43
- Example 4 in SASophylistic yjlee168 2008-09-30 12:23
- Example 4 in SASophylistic d_labes 2008-09-30 09:43
- WinNonlin 5.2.1 vs. 6 beta Helmut 2008-09-29 15:54
- lambda_z estimation Aceto81 2008-09-26 10:25
- TTT method for lambda_z estimation yjlee168 2008-09-30 12:34
- TTT method for lambda_z estimation d_labes 2008-09-30 14:48
- TTT method for lambda_z estimation yjlee168 2008-09-30 20:28
- TTT method plus best fit combined d_labes 2008-10-01 08:43
- AIC or ARS as the best fit criterion? yjlee168 2008-10-02 12:40
- AIC or ARS as the best fit criterion? d_labes 2008-10-02 13:59
- AIC or ARS as the best fit criterion? yjlee168 2008-10-02 12:40
- TTT method plus best fit combined d_labes 2008-10-01 08:43
- TTT method for lambda_z estimation yjlee168 2008-09-30 20:28
- TTT method for lambda_z estimation Aceto81 2008-09-30 15:11
- TTT method for lambda_z estimation yjlee168 2008-09-30 19:57
- TTT method for lambda_z estimation Aceto81 2008-10-01 14:18
- TTT method for lambda_z estimation yjlee168 2008-10-02 12:29
- TTT method for lambda_z estimation Aceto81 2008-10-03 15:33
- TTT method for lambda_z estimation yjlee168 2008-10-03 21:22
- TTT method for lambda_z estimation Aceto81 2008-10-03 15:33
- TTT method for lambda_z estimation yjlee168 2008-10-02 12:29
- TTT method for lambda_z estimation Aceto81 2008-10-01 14:18
- TTT method for lambda_z estimation yjlee168 2008-09-30 19:57
- TTT method for lambda_z estimation d_labes 2008-09-30 14:48
- lambda_z estimation d_labes 2008-09-23 14:41
- bear v1.0.0 - a data analytical tool for ABE in R yjlee168 2008-07-16 07:22
- bear v1.0.0 - a data analytical tool for ABE in R Aceto81 2008-07-15 10:07
- bear v1.0.0 - a data analytical tool for ABE in R yjlee168 2008-07-14 19:02
- bear v1.0.0 - a data analytical tool for ABE in R ElMaestro 2008-07-22 14:35
- bear v1.0.0 - a data analytical tool for ABE in R yjlee168 2008-07-23 09:55
- bear v1.0.0 - a data analytical tool for ABE in R ElMaestro 2008-07-24 10:04
- bear v1.0.0 - a data analytical tool for ABE in R yjlee168 2008-07-25 20:38
- bear v1.0.0 - a data analytical tool for ABE in R ElMaestro 2008-07-28 08:42
- bear v1.0.0 - a data analytical tool for ABE in R yjlee168 2008-07-25 20:38
- bear v1.0.0 - a data analytical tool for ABE in R ElMaestro 2008-09-23 16:10
- bear v1.0.0 - a data analytical tool for ABE in R yjlee168 2008-09-24 22:00
- bear v1.0.0 - a data analytical tool for ABE in R ElMaestro 2008-09-25 09:03
- bear v1.0.0 - a data analytical tool for ABE in R ElMaestro 2008-09-25 13:52
- bear v1.0.0 - a data analytical tool for ABE in R Helmut 2008-09-25 14:39
- bear v1.0.0 - a data analytical tool for ABE in R ElMaestro 2008-09-25 14:55
- bear v1.0.0 - a data analytical tool for ABE in R Helmut 2008-09-25 15:33
- GLM in R and the power to know d_labes 2008-09-25 16:45
- GLM in R and the power to know ElMaestro 2008-09-25 19:23
- nesting in R? yjlee168 2008-09-25 20:49
- nesting in R? ElMaestro 2008-09-25 22:01
- lm in R Helmut 2008-09-26 00:23
- nesting in R? yjlee168 2008-09-25 20:49
- GLM in R and the power to know ElMaestro 2008-09-25 19:23
- GLM in R and the power to know d_labes 2008-09-25 16:45
- bear v1.0.0 - a data analytical tool for ABE in R Helmut 2008-09-25 15:33
- bear v1.0.0 - a data analytical tool for ABE in R ElMaestro 2008-09-25 14:55
- bear v1.0.0 - a data analytical tool for ABE in R Helmut 2008-09-25 14:39
- bear v1.0.0 - a data analytical tool for ABE in R ElMaestro 2008-09-25 13:52
- bear v1.0.0 - a data analytical tool for ABE in R ElMaestro 2008-09-25 09:03
- bear v1.0.0 - a data analytical tool for ABE in R yjlee168 2008-09-24 22:00
- bear v1.0.0 - a data analytical tool for ABE in R ElMaestro 2008-07-24 10:04
- Type III SS in balanced, crossover BE studies? yjlee168 2008-10-18 21:03
- Type III SS in balanced, crossover BE studies? ElMaestro 2008-10-21 13:09
- Type III SS in balanced, crossover BE studies? yjlee168 2008-10-21 13:19
- Only balanced, crossover BE studies? d_labes 2008-10-21 14:31
- Only balanced, crossover BE studies? yjlee168 2008-10-21 19:01
- Only balanced, crossover BE studies? ElMaestro 2008-10-24 11:26
- Thread locked Helmut 2008-10-24 11:58
- Only balanced, crossover BE studies? ElMaestro 2008-10-24 11:26
- Only balanced, crossover BE studies? yjlee168 2008-10-21 19:01
- Only balanced, crossover BE studies? d_labes 2008-10-21 14:31
- Type III SS in balanced, crossover BE studies? yjlee168 2008-10-21 13:19
- Type III SS in balanced, crossover BE studies? ElMaestro 2008-10-21 13:09
- bear v1.0.0 - a data analytical tool for ABE in R yjlee168 2008-07-23 09:55
- bear v1.0.0 for R - first impressions Helmut 2008-07-14 04:12