Table 4.
General linear model. A multivariate analysis was performed to estimate the impact of gender, years since medical school graduation, h index and academic rank on industry payments in 2018. The model demonstrated that male gender, greater years since graduation, higher h index and higher academic rank are significantly associated with higher industry payments. Estimate: estimate of relationship of each variable on total payments; SE: standard error of the estimate; t stat: t statistic.
| Estimate | SE | t stat | p-value | |
|---|---|---|---|---|
|
| ||||
| Male gender | 2.72 | 0.41 | 2.42 | 0.016 |
| Years since graduation | 0.93 | 0.02 | −3.76 | <0.0001 |
| H index | 1.04 | 0.01 | 2.60 | 0.010 |
|
| ||||
| Academic rank | ||||
|
| ||||
| Instructor | 0.86 | 0.88 | −0.18 | 0.860 |
| Assistant | 1.94 | 0.49 | 1.34 | 0.182 |
| Associate | 3.17 | 0.57 | 2.04 | 0.042 |
| Professor | 7.37 | 0.68 | 2.94 | 0.003 |