Table 1 Example FEV1 data for one individual. The 3rd order polynomial model was selected as the best fit. From the model, FEV1% is predicted for every day between an individual’s first and last measured FEV1 value. The standard error of the model is 4.58, and the r2 is 0.23
Model Input | Model Output | |
|---|---|---|
Day of Data | Measured FEV1% | Predicted FEV1% |
1 | 67.83 | 67.22 |
2 | 67.24 | |
3 | 67.25 | |
4 | 67.27 | |
5 | 67.29 | |
6 | 67.31 | |
7 | 67.33 | |
8 | 67.35 | |
9 | 67.37 | |
10 | 67.39 | |
11 | 67.41 | |
12 | 67.43 | |
13 | 67.45 | |
14 | 67.47 | |
15 | 67.49 | |
16 | 67.51 | |
17 | 67.53 | |
18 | 67.55 | |
19 | 67.57 | |
20 | 67.60 | |
21 | 67.54 | 67.62 |
22 | 67.64 | |
23 | 67.66 | |
24 | 67.69 | |
25 | 67.71 | |
26 | 67.73 | |
27 | 67.76 | |
28 | 73.21 | 67.78 |
29 | 67.81 | |
30 | 67.83 | |
31 | 67.86 | |
32 | 70.68 | 67.88 |
… | … | … |