steady-state PK parameters = SD PK parameters! [Software]
Dear chak!
Exactly.
If it's an i.v. administration, you get k10 and V (not V_F) = WinNonlin model 1
If it's an p.o. formulation you get V_F and k10 (models 3, 4, 5, 6)
From your study. If you have only i.v. data, you can only simulate MD i.v.; if you have SD p.o. data, use one of the models mentioned above in order to get k10 first, then start the simulation.
Sure, this is an example of a simulation of a two-compartment model. What do you mean by 'constant'?
No! They are constant given the data - you may not use them for your formulation!!
Once - and last - again (see also this post):
❝ As per the WinNonlin user manual 5.2, for simulation we need to enter
❝ model parameters like k10 (elimination rate constant), k01 (absoprtion
❝ rate constant), V_F (volume of distibution).
Exactly.
❝ from single dose pk data we can get the value of k10 & V_F.
If it's an i.v. administration, you get k10 and V (not V_F) = WinNonlin model 1
If it's an p.o. formulation you get V_F and k10 (models 3, 4, 5, 6)
❝ But from where we can get the value of K01? can we calculate it from
❝ single dose data using WinNonlin.
From your study. If you have only i.v. data, you can only simulate MD i.v.; if you have SD p.o. data, use one of the models mentioned above in order to get k10 first, then start the simulation.
❝ Also for model 11, following value for model parameter have been given in
❝ WinNonlin user manual.
❝ K12=1.5, K21=1
❝ Are they constant value?
Sure, this is an example of a simulation of a two-compartment model. What do you mean by 'constant'?
❝ can we consider these value in our simuation?
No! They are constant given the data - you may not use them for your formulation!!
Once - and last - again (see also this post):
- Model your single dose data set
- Use these parameters in the simulation
- Consider participating in Pharsight's training.
—
Dif-tor heh smusma 🖖🏼 Довге життя Україна!![[image]](https://static.bebac.at/pics/Blue_and_yellow_ribbon_UA.png)
Helmut Schütz
![[image]](https://static.bebac.at/img/CC by.png)
The quality of responses received is directly proportional to the quality of the question asked. 🚮
Science Quotes
Dif-tor heh smusma 🖖🏼 Довге життя Україна!
![[image]](https://static.bebac.at/pics/Blue_and_yellow_ribbon_UA.png)
Helmut Schütz
![[image]](https://static.bebac.at/img/CC by.png)
The quality of responses received is directly proportional to the quality of the question asked. 🚮
Science Quotes
Complete thread:
- prediction of steady-state PK parameters from SD data chak 2008-11-26 14:19
- steady-state PK parameters = SD PK parameters! Helmut 2008-11-26 15:01
- steady-state PK parameters = SD PK parameters! chak 2008-11-27 17:31
- steady-state PK parameters = SD PK parameters!Helmut 2008-11-27 17:51
- steady-state PK parameters = SD PK parameters! ElMaestro 2008-11-27 19:59
- The power to know d_labes 2008-11-28 08:29
- steady-state PK parameters = SD PK parameters! ElMaestro 2008-11-27 19:59
- steady-state PK parameters = SD PK parameters!Helmut 2008-11-27 17:51
- steady-state PK parameters = SD PK parameters! chak 2008-11-27 17:31
- steady-state PK parameters = SD PK parameters! Helmut 2008-11-26 15:01