Table 2.
Characteristics of survey participants (n = 343)
Variable | N (%) |
---|---|
Age | |
18-24 | 6 (1.8%) |
25-34 | 74 (21.9%) |
35-44 | 85 (25.1%) |
45-54 | 88 (26.0%) |
55-64 | 54 (16.0%) |
65+ | 31 (9.2%) |
Gender identity | |
Woman | 169 (50.3%) |
Man | 162 (48.2%) |
Transgender woman | 0 (0.0%) |
Transgender man | 1 (0.3%) |
Non-binary/Gender fluid | 4 (1.2%) |
Race | |
American Indian or Alaskan Native | 0 (0.0%) |
Asian | 40 (12.3%) |
Black or African American | 9 (2.8%) |
Native Hawaiian or other Pacific Islander | 0 (0.0%) |
White | 270 (82.8%) |
Two or more races | 7 (2.1%) |
Ethnicity | |
Not of Hispanic or Latino/a origin | 313 (95.4%) |
Hispanic, Latino/a origin | 15 (4.6%) |
Highest degree | |
Doctorate | 204 (59.5%) |
Master’s | 139 (40.5%) |
Graduate certificate | 0 (0.0%) |
Years spent as a collaborative biostatistician | |
0-5 | 83 (24.2%) |
6-15 | 116 (33.8%) |
16+ | 144 (42.0%) |
Job sector | |
Academia/academic medical center | 238 (69.4%) |
Industry (for-profit) | 41 (12.0%) |
Industry (non-profit) | 35 (10.2%) |
Government | 15 (4.4%) |
Self-employed | 14 (4.1%) |
The following variables had missing data: age (n = 5), gender identity (n = 7), race (n = 17), ethnicity (n = 15). Denominators for percentages include only non-missing responses.