Table 4. Gender differences for reported financial affiliations after adjustment A .
| Relationships Considered | Adjusted Gender Difference A (Std. Error) | Adjusted Gender Ratio B (95% CI) |
|---|---|---|
| Total Dollars | $-3,598.63 ($685.67)*** | $0.58 ($0.56, $0.60)*** |
| Total Dollars (Sponsored Research Not Included) | $-2,489.80 ($646.46)* | $0.60 ($0.58, $0.62)*** |
| By Type of Relationship | ||
| Meals | $-41.80 ($3.67)*** | $0.81 ($0.79, $0.83)*** |
| Education | $-1,893.14 ($221.09) *** | $0.59 ($0.54, $0.64)*** |
| Speaker | $-2,898.44 ($619.15)*** | $0.45 ($0.13, $1.55) |
| Consultant/Advisor/Oversight | $-2,407.13 ($2,339.71) | $0.64 ($0.49, $0.82)*** |
| Travel | $-26.86 ($181.69) | $0.94 ($0.77, $1.17) |
| Sponsored Research | $-15,049.62 ($7,947.32)* | $0.94 ($0.77, $1.15) |
| Other | $-4,767.24 ($3,134.59 | $0.84 ($0.80, $0.88)*** |
A: Adjusted for Physician factors (Specialty: Medical vs. Surgical vs. Other and Age), as well as institutional factors (Hospital > 500 beds, has a medical school affiliation, has any NIH awards, Located in an AHA Top 100 ranked city) P value for Gender main effect from linear mixed effects model with these adjustments. Indicated by * for P<0.05, ** for P<0.01, and *** for P<0.001
B: From the same model as A, but using Log(Total Dollars) as the predicted outcome. Results are the back-transformed to reflect the dollar amount received by females per dollar received by males.