Spaghetti & other pasta [NCA / SHAM]
Dear Yung-jin,
We are all guilty in not representing in spaghettis plots the method we use for calculating the AUC. For simplicity we connect point with straight lines, regardless whether we use a linear or semilogarithmic scale (all left panels below).
If we use the linear trapezoidal, the semilog plot is wrong. What we are actually calculating would be reflected in the lower right.
Weird, isn’t it? But then hopefully everybody would realize that the algo overestimates AUCs in the distribution / elimination phase.
On the other hand if we use the lin-up/log-down trapezoidal the linear plot is wrong; should use the upper right one instead.
Have you ever seen something like this before? I didn’t. Would be a tough job to come up with such a setup in commercial software.
PS: Very rarely you find publications where in mean plots the points are not connected by lines at all.
PPS: What do you think about adding
❝ ❝ ❝ Otherwise, the line should not be connected in that way. It should be connected as the line that the arrow points.
❝ ❝ Why?
❝ Sorry, I thought it was using lin-up/log-down algo and plots in slide#17.
We are all guilty in not representing in spaghettis plots the method we use for calculating the AUC. For simplicity we connect point with straight lines, regardless whether we use a linear or semilogarithmic scale (all left panels below).
If we use the linear trapezoidal, the semilog plot is wrong. What we are actually calculating would be reflected in the lower right.
Weird, isn’t it? But then hopefully everybody would realize that the algo overestimates AUCs in the distribution / elimination phase.
On the other hand if we use the lin-up/log-down trapezoidal the linear plot is wrong; should use the upper right one instead.
Have you ever seen something like this before? I didn’t. Would be a tough job to come up with such a setup in commercial software.
PS: Very rarely you find publications where in mean plots the points are not connected by lines at all.
PPS: What do you think about adding
rug(t, side=3)
to plots in bear?—
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:
- handling of missing data gracehung 2013-05-20 07:35
- 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 pastaHelmut 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 pastaHelmut 2013-05-23 15:15
- No interpolation Ken 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