Table 1.
Applicant experience level |
Competing application type |
Sex | Person-level data | Application-level data; excludes applications with multiple primary investigators |
||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Applicants | Awardees | Funding rate (%)** |
Applications , No. (%) |
Awards , No. (%) |
% Succes s rate** |
Direct costs of awards‡§ | ||||||
No. (%)¶ | Age†§ | No. (%)¶ | Age†§ | Requested † |
Received† | |||||||
First-time | All competing types: 1,2,3,9 |
F | 1,924 (33)†† | 44 | 474 (36)†† | 43 | 27 | 1,962 (32) | 481 (34) | 25 | $422,191†† | $372,536†† |
M | 3,914 (67)†† | 44 | 842 (64)†† | 43 | 27 | 4,091 (68) | 945 (66) | 23 | $393,323†† | $344,449†† | ||
Experienced | All competing types: 1,2,3,9 |
F | 3,666 (26)†† | 50†† | 744 (24)†† | 51†† | 27†† | 4,492 (25) | 980 (23) | 22†† | $465,373 | $405,653†† |
M | 10,652 (74)†† | 52†† | 2,415 (76)†† | 53†† | 31†† | 13,633 (75) | 3,216 (77) | 24†† | $452,942 | $396,246†† | ||
New only (Type 1) |
F | 2,503 (26)†† | 50†† | 376 (34)†† | 50†† | 24 | 2,989 (25) | 492 (24) | 17 | $480,651†† | $415,876†† | |
M | 7,075 (74)†† | 52†† | 1,162 (76)†† | 52†† | 25 | 8,947 (75) | 1,582 (76) | 18 | $459,222†† | $399,780†† | ||
Renewal only (Type 2) |
F | 1,128 (24)†† | 52†† | 355 (22)†† | 52†† | 37†† | 1,463 (24) | 472 (23) | 32 | $450,031 | $395,346 | |
M | 3,510 (76)†† | 54†† | 1,225 (78)†† | 54†† | 41†† | 4,579 (76) | 1,586 (77) | 35 | $446,878 | $392,824 |
As defined by the OER Glossary,16 where “all competing types” includes new (Type 1), renewal (Type 2), supplemental support (Type 3), and change of NIH awarding institute or division in a competing continuation (Type 9). First-time investigators are those applying for a competing R01-equivalent award without previous significant NIH competing research grant support. Experienced investigators are those who are not first-time investigators.
Distribution comparisons between males and females were performed with the 2-sample Kolmogorov-Smirnov test.
Applications with incomplete values for direct costs were excluded from cost calculations.
Values shown are averages.
Binomial test was used to determine if the percentage of women or men in the applicant or awardee pool was different from 50%.
Pearson’s chi-square test was used to assess sex differences.
P<0.05.