Copyright
©The Author(s) 2019.
World J Gastroenterol. Feb 28, 2019; 25(8): 1024-1030
Published online Feb 28, 2019. doi: 10.3748/wjg.v25.i8.1024
Published online Feb 28, 2019. doi: 10.3748/wjg.v25.i8.1024
Table 3 Results of regression analysis for incidence of endoscopic retrograde cholangiopancreatography-related complications
| Impact factors | Linear regression analysis | Nonlinear (root) regression analysis | Nonlinear (square) regression analysis | Nonlinear (log) regression analysis | ||||
| Coefficient | P value | Coefficient | P value | Coefficient | P value | Coefficient | P value | |
| Intercept | 0.0326 | 0.0000 | 0.0343 | 0.0022 | 0.0312 | 0.0000 | 0.0222 | 0.0888 |
| Length of experience in endoscopy | 0.0000 | 0.9895 | 0.0007 | 0.7124 | -0.0000 | 0.5579 | 0.0029 | 0.4635 |
| Ratio of endoscopists to nurses | -0.0018 | 0.1499 | -0.0065 | 0.1307 | -0.0001 | 0.3407 | -0.0048 | 0.1389 |
- Citation: Wang LW, Lin H, Xin L, Qian W, Wang TJ, Zhang JZ, Meng QQ, Tian B, Ma XD, Li ZS. Establishing a model to measure and predict the quality of gastrointestinal endoscopy. World J Gastroenterol 2019; 25(8): 1024-1030
- URL: https://www.wjgnet.com/1007-9327/full/v25/i8/1024.htm
- DOI: https://dx.doi.org/10.3748/wjg.v25.i8.1024