OT: keep TTT! [PK / PD]
Dear Helmut,
OK. I plot your simulated data as semi-log scale (log(C) vs. time) to see if the 'breakpoint' (which is occurring at 9) is easy to figure out visually. It is not. I don't know if you put too much noise or not. If we can visually figure out the 'breakpoint' easily, then we probably can change current TTT algo as a
Agree.
❝ [...]
❝ Please no! Contrary to R²adj TTT is based on PK-grounds. I would not call it model-dependent. OK, it is based on a one-compartment model but the estimation of λz is within the boundaries of NCA, IMHO. For multiple distribution / elimination phases it is the responsibility of the user to select the last loglinear phase visually.
OK. I plot your simulated data as semi-log scale (log(C) vs. time) to see if the 'breakpoint' (which is occurring at 9) is easy to figure out visually. It is not. I don't know if you put too much noise or not. If we can visually figure out the 'breakpoint' easily, then we probably can change current TTT algo as a
semi-automatic way
. That is to pick the last 3-4 data points first (automatically) and then to show plots to allow user to add more until reaching 'breakpoint' (manually). I guess it will work only if user knows which is the 'breakpoint.' One more question: what if the 'breakpoint' is just not one of scheduled sampling times?❝ Anyhow, I’m not overly optimistic yet – especially if at least one of the following conditions applies: • Noisy data. [...]
Agree.
—
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:
- 1 compartment model with lag time jag009 2013-07-17 15:58 [PK / PD]
- solve for k01? Helmut 2013-07-17 16:08
- solve for k01? jag009 2013-07-17 16:19
- solve for k01? ElMaestro 2013-07-17 17:09
- no closed form Helmut 2013-07-17 23:01
- solve for k01? jag009 2013-07-17 16:19
- 1 compartment model with lag time yjlee168 2013-07-17 20:57
- Package-free solution ElMaestro 2013-07-17 21:53
- Package-free solution yjlee168 2013-07-17 22:11
- Package-free solution ElMaestro 2013-07-17 22:27
- Package-free solution yjlee168 2013-07-17 22:42
- Package-free solution ElMaestro 2013-07-17 22:27
- Package-free solution ElMaestro 2013-07-17 23:21
- A new R-King was born d_labes 2013-07-18 08:45
- Brent ElMaestro 2013-07-18 09:07
- A new R-King was born yjlee168 2013-07-18 10:21
- OT: TTT in bear Helmut 2013-07-18 20:28
- OT: TTT in bear yjlee168 2013-07-18 22:17
- OT: TTT subtleties d_labes 2013-07-19 09:47
- OT: TTT subtleties yjlee168 2013-07-20 19:44
- OT: beyond TTT? Helmut 2013-07-21 00:08
- OT: beyond TTT? yjlee168 2013-07-22 13:45
- OT: keep TTT! Helmut 2013-07-22 14:21
- OT: keep TTT!yjlee168 2013-07-22 23:42
- OT: EOD (here) Helmut 2013-07-23 01:06
- OT: keep TTT!yjlee168 2013-07-22 23:42
- OT: keep TTT! Helmut 2013-07-22 14:21
- OT: beyond TTT? yjlee168 2013-07-22 13:45
- OT: beyond TTT? Helmut 2013-07-21 00:08
- OT: TTT subtleties yjlee168 2013-07-20 19:44
- OT: TTT subtleties d_labes 2013-07-19 09:47
- OT: TTT in bear yjlee168 2013-07-18 22:17
- OT: TTT in bear Helmut 2013-07-18 20:28
- Package-free solution yjlee168 2013-07-18 10:27
- Thank you guys! jag009 2013-07-18 16:37
- Thank you guys! ElMaestro 2013-07-18 18:57
- Thank you guys! jag009 2013-07-19 20:40
- Thank you guys! ElMaestro 2013-07-18 18:57
- Thank you guys! jag009 2013-07-18 16:37
- A new R-King was born d_labes 2013-07-18 08:45
- Package-free solution yjlee168 2013-07-17 22:11
- solve for k01? Helmut 2013-07-17 16:08