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 4 Results of regression analysis for incidence of gastroscopy/colonoscopy-related complications
| Impact factor | 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 | 0.0064 | 0.0000 | 0.0075 | 0.0057 | 0.0059 | 0.0000 | 0.0070 | 0.0173 |
| Length of experience in endoscopy | -0.0000 | 0.4461 | -0.0003 | 0.5274 | -0.0000 | 0.4250 | -0.0006 | 0.5821 |
| Ratio of endoscopists to nurses | -0.0000 | 0.8001 | -0.0005 | 0.6422 | -0.0000 | 0.8793 | -0.0002 | 0.8611 |
- 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