Which package? [🇷 for BE/BA]
Hi Sury,
which package did you use in R (
Your results for WinNonlin look similar to what I got in PHX with the linear trapezoidal:
Why not identical? Which version of WinNonlin? Did you use the scheduled instead of the actual times?
Let’s perform a manual calculation (subject 1, period 1): $$AUC_{lin}|_{t_1}^{t_2}=(t_2-t_1)\frac{C_1+C_2}{2}$$ $$AUC_{log}|_{t_1}^{t_2}=(t_2-t_1)\frac{C_2-C_1}{\log (\frac{C_2}{C_1})}$$
which package did you use in R (
PKNCA
or bear
)? If the former, did you specify PKNCA.options(auc.method = "lin up/log down")
?Your results for WinNonlin look similar to what I got in PHX with the linear trapezoidal:
Subject Period AUClast
1 1 9352.581
1 2 7965.182
2 1 8153.202
2 2 11230.876
3 1 11156.603
3 2 10008.454
4 1 6673.169
4 2 8652.151
Why not identical? Which version of WinNonlin? Did you use the scheduled instead of the actual times?
Let’s perform a manual calculation (subject 1, period 1): $$AUC_{lin}|_{t_1}^{t_2}=(t_2-t_1)\frac{C_1+C_2}{2}$$ $$AUC_{log}|_{t_1}^{t_2}=(t_2-t_1)\frac{C_2-C_1}{\log (\frac{C_2}{C_1})}$$
t C Ci≥Ci-1? AUCi (lin) Ci<Ci-1? AUCi (log) AUCi
────────────────────────────────────────────────────────────
0.00 0.000 0.0 0.0 0.0
0.25 96.642 yes 12.1 no 12.1
0.50 148.051 yes 30.6 no 30.6
1.00 348.997 yes 124.3 no 124.3
1.50 342.736 no yes 172.9 172.9
2.00 306.647 no yes 162.2 162.2
2.50 282.846 no yes 147.3 147.3
3.02 266.988 no yes 142.9 142.9
4.00 231.600 no yes 243.9 243.9
6.00 171.607 no yes 400.2 400.2
8.00 173.596 yes 345.2 no 345.2
12.00 147.069 no yes 639.9 639.9
24.00 145.951 no yes 1758.1 1758.1
36.00 117.608 no yes 1575.2 1575.2
48.00 108.564 no yes 1356.3 1356.3
72.17 75.920 no yes 2206.0 2206.0
────────────────────────────────────────────────────────────
AUC0–t 9317.1
✔—
Dif-tor heh smusma 🖖🏼 Довге життя Україна!
Helmut Schütz
The quality of responses received is directly proportional to the quality of the question asked. 🚮
Science Quotes
Dif-tor heh smusma 🖖🏼 Довге життя Україна!
Helmut Schütz
The quality of responses received is directly proportional to the quality of the question asked. 🚮
Science Quotes
Complete thread:
- PKNCA Package usage sury 2019-11-20 10:21 [🇷 for BE/BA]
- Data? Helmut 2019-11-20 10:27
- PKNCA Package usage yjlee168 2019-11-20 14:35
- PKNCA Package usage sury 2019-11-21 05:10
- Which package?Helmut 2019-11-21 14:53
- Which package? sury 2019-11-22 07:23
- Phoenix 6.3 – 8.1 = bear 2.8.6 = PKNCA 0.9.1 Helmut 2019-11-22 11:22
- Which package? sury 2019-11-22 07:23
- Which package?Helmut 2019-11-21 14:53
- PKNCA Package usage sury 2019-11-21 05:10