Figure 1.

Multivariable logistic regression model explaining having an endowed chair for full professors. Funding data were initially categorized into those with funding and those without; individuals with any funding were further subcategorized by quartile for multivariable analysis. Citation data were categorized by quartile. Publication and H-index data were excluded from the multivariable model due to collinearity with citations. CL = confidence limit; LCL = lower confidence limit (fifth percentile); OR = odds ratio; UCL = upper confidence limit (95th percentile). P values (reported in the last column) are 2-sided, Wald-based P values for the logistic odds ratio estimates from the multivariable model, which test whether the odds ratio is statistically significantly different from 1 for each covariate or indicator; P values less than .05 were considered statistically significant.