RTFM [NCA / SHAM]
❝ I thought AUC0-tau not reported by Phoenix is because Lambda can't be calculated.
Exactly. Works as designed. See also the “Phoenix WinNonlin 6.4 user’s Guide” ► Noncompartmental Analyis ► Partial areas
I suggest to ☑ Intermediate Output in Setup/Options-tab.
Since Phoenix 6.0 (and different to ‘classical’ WNL up to 5.3) in the automatic setup (
BestFit
) Cmax/tmax is not included in the fitting procedure. Hence, in dataset 1 you have just two data points left and don’t get an estimate of λz from PHX. In the Core output you find for data set 1:Calculation method: Linear Trapezoidal Rule for for Increasing Values,
Log Trapezoidal Rule for Decreasing Values
Weighting for lambda_z calculations: Uniform weighting
Lambda_z method: Find best fit for lambda_z, Log regression
Intermediate Output: Trying different time intervals to get best fit for LambdaZ
--------------------------------------------------------------------------------
Lower_time Upper_time PtsUsed LambdaZ Rsq Adj_Rsq
----------------------------------------------------------
Unable to determine Lambda_z
Intermediate Output: AUC_TAU
----------------------------
Computing partial area from 0.000000 to 24.000000:
*** Warning 14530: Lambda_z could not be estimated.
No parameters could be extrapolated to infinity.
*** Warning 14531: AUC_TAU could not be estimated.
Steady state PK parameters could not be estimated.
However, for dataset 2:
Intermediate Output: Trying different time intervals to get best fit for LambdaZ
--------------------------------------------------------------------------------
Lower_time Upper_time PtsUsed LambdaZ Rsq Adj_Rsq
----------------------------------------------------------
12.00 23.80 3 0.0612 0.8284 0.6568
Best value for Lambda_z: 0.0612, and intercept: 8.0759
Intermediate Output: AUC_TAU
----------------------------
Computing partial area from 0.000000 to 24.000000:
piece from (0.000000, 1000.000000) to (4.000000, 1500.000000) = 5000.000000
piece from (4.000000, 1500.000000) to (8.000000, 1750.000000) = 6500.000000
piece from (8.000000, 1750.000000) to (12.000000, 1750.000000) = 7000.000000
piece from (12.000000, 1750.000000) to (16.000000, 1000.000000) = 5360.820879
piece from (16.000000, 1000.000000) to (23.800000, 800.000000) = 6991.015384
piece from (23.800000, 800.000000) to (24.000000, 741.073056) = 154.032169
Partial area from 0.000000 to 24.000000 = 31005.868431
PHX’s default is not a law (and the automatic method needs inspection and adjustments anyhow – search the forum for ‘TTT method’ and the references given in the posts). You could manually select the last three (or maybe even better only the last two) data points in such a case.
See also this presentation about Cmin vs. Cτ where related problems exist.
Dif-tor heh smusma 🖖🏼 Довге життя Україна!
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Helmut Schütz
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The quality of responses received is directly proportional to the quality of the question asked. 🚮
Science Quotes
Complete thread:
- AUC0-tau at steady state BNR 2016-03-31 22:46
- AUC0-tau at steady state jag009 2016-03-31 23:05
- AUC0-tau at steady state BNR 2016-03-31 23:43
- RTFMHelmut 2016-04-01 00:59
- RTFM BNR 2016-04-01 02:05
- AUC0-τ estimation with time deviations Astea 2019-02-10 16:38
- AUC0-τ estimation with time deviations Helmut 2019-02-10 19:32
- Cτ for lin and lin-up/log-down Astea 2019-02-10 20:50
- Cτ by lin-/lin, lin-up/log-down, and λz Helmut 2019-02-11 01:45
- inter- vs extra- Astea 2019-02-11 19:46
- inter- vs extra- Helmut 2019-02-12 02:20
- No rule fits all mittyri 2019-02-14 12:55
- one size fits all vs goal posts Astea 2019-02-16 08:33
- one size fits all vs goal posts ElMaestro 2019-02-16 13:33
- Bias etc. Helmut 2019-02-16 14:26
- software: NCA not validated Helmut 2019-02-16 13:59
- no way out for NCA validation? mittyri 2019-02-20 21:22
- Default rules mittyri 2019-02-20 21:40
- one size fits all vs goal posts ElMaestro 2019-02-16 13:33
- one size fits all vs goal posts Astea 2019-02-16 08:33
- inter- vs extra- Astea 2019-02-11 19:46
- Cτ by lin-/lin, lin-up/log-down, and λz Helmut 2019-02-11 01:45
- Cτ for lin and lin-up/log-down Astea 2019-02-10 20:50
- AUC0-τ estimation with time deviations Helmut 2019-02-10 19:32
- RTFMHelmut 2016-04-01 00:59
- AUC0-tau at steady state BNR 2016-03-31 23:43
- AUC0-tau at steady state jag009 2016-03-31 23:05