No interpolation [NCA / SHAM]
❝ Interpolated values for imputation:
❝ linear: C12*=33.17+|(12-8)/(16-8)|(7.86-33.17)=20.52
ok.
❝ linlog: C12*=exp(log(33.17)+|(12-8)/(16-8)|log(7.86/33.17))=16.15
How did you get the readings of 16.15? I tried to follow your equation but I could not get the answer.

❝ Calculation based on imputed values:
❝ linear/lin imp.: pAUC8-16=0.5(12- 8)(33.17+20.52)+
❝ 0.5(16-12)(20.52+ 7.86)=164.1
❝ linear/log imp.: pAUC8-16=0.5(12- 8)(33.17+20.52)+
❝ 0.5(16-12)(20.52+ 7.86)=146.7
linear/lin imp and linear/log imp have the same data set. Why the output is different ?

❝ linlog/log imp.: pAUC8-16=(12- 8)(16.15-33.17)/log(16.15/33.17)+
❝ (16-12)( 7.86-16.15)/log( 7.86/16.15)=140.6
❝
❝ Direct calculation without imputation:
❝ linear: pAUC8-16=0.5(16-8)(33.17+7.86)=164.1
ok.
❝ linlog: pAUC8-16=(16-8)(7.86-33.17)/log(7.86/33.17)=140.6
Similarly, I could not get the answer of 140.61. How did you calculate ?

Please kindly elaborate.
Thank you.
Ken
Complete thread:
- handling of missing data gracehung 2013-05-20 07:35 [NCA / SHAM]
- Lin-up/log-down trapezoidal avoids most trouble Helmut 2013-05-20 14:22
- Lin-up/log-down trapezoidal avoids most trouble yjlee168 2013-05-22 08:25
- Multiple peaks: fallback to linear trapezoidal Helmut 2013-05-22 20:25
- Multiple peaks: fallback to linear trapezoidal yjlee168 2013-05-22 21:57
- No interpolation Helmut 2013-05-22 23:25
- No interpolation yjlee168 2013-05-23 11:43
- Spaghetti & other pasta Helmut 2013-05-23 15:15
- Spaghetti & other pasta yjlee168 2013-05-23 20:47
- Spaghetti & other pasta Helmut 2013-05-23 21:29
- Spaghetti & other pasta yjlee168 2013-05-23 22:46
- Spaghetti & other pasta Helmut 2013-05-24 01:24
- Spaghetti & other pasta yjlee168 2013-05-24 09:17
- Spaghetti & other pasta Helmut 2013-05-24 01:24
- Spaghetti & other pasta yjlee168 2013-05-23 22:46
- Spaghetti & other pasta Helmut 2013-05-23 21:29
- Spaghetti & other pasta yjlee168 2013-05-23 20:47
- Spaghetti & other pasta Helmut 2013-05-23 15:15
- No interpolationKen Peh 2013-05-30 19:55
- Different algos! Helmut 2013-05-30 22:38
- Different algos! Ken Peh 2013-06-03 17:52
- Calculate what? Helmut 2013-06-03 18:11
- Different algos! Ken Peh 2013-06-03 17:52
- Different algos! Helmut 2013-05-30 22:38
- No interpolation yjlee168 2013-05-23 11:43
- No interpolation Helmut 2013-05-22 23:25
- Multiple peaks: fallback to linear trapezoidal yjlee168 2013-05-22 21:57
- Lin-up/log-down trapezoidal example Helmut 2013-05-25 15:09
- Lin-up/log-down trapezoidal example yjlee168 2013-05-25 19:45
- Multiple peaks: fallback to linear trapezoidal Helmut 2013-05-22 20:25
- Lin-up/log-down trapezoidal avoids most trouble yjlee168 2013-05-22 08:25
- handling of missing data Ohlbe 2013-05-20 21:45
- Sorry Helmut 2013-05-21 13:53
- Sorry gracehung 2013-05-23 01:06
- Uncertain time point Helmut 2013-05-23 01:35
- Sorry gracehung 2013-05-23 01:06
- Sorry Helmut 2013-05-21 13:53
- Lin-up/log-down trapezoidal avoids most trouble Helmut 2013-05-20 14:22