Publications by authors named "Walter T Schaffer"
This research expands efforts to understand differences in NIH funding associated with the self-identified race and ethnicity of applicants. We collected data from 2,397 NIH Biographical Sketches submitted between FY 2003 and 2006 as part of new NIH R01 Type 1 applications to obtain detailed information on the applicants' training and scholarly activities, including publications. Using these data, we examined the association between an NIH R01 applicant's race or ethnicity and the probability of receiving an R01 award.
View Article and Find Full Text PDFBecause of national interest in the "graying" of the biomedical workforce, we examine aging and funding within the pool of NIH-funded investigators and applicants, particularly in the growing field of stem cell research. We provide evidence of a maturing and more competitive stem cell workforce and discuss policy implications.
View Article and Find Full Text PDFPurpose: To analyze the relationship between gender, race/ethnicity, and the probability of being awarded an R01 grant from the National Institutes of Health (NIH).
Method: The authors used data from the NIH Information for Management, Planning, Analysis, and Coordination grants management database for the years 2000-2006 to examine gender differences and race/ethnicity-specific gender differences in the probability of receiving an R01 Type 1 award. The authors used descriptive statistics and probit models to determine the relationship between gender, race/ethnicity, degree, investigator experience, and R01 award probability, controlling for a large set of observable characteristics.
Article Synopsis
- The NIH invests about $22 billion yearly in biomedical research through extramural grants, and since 2010, all individuals involved in these projects must be reported.
- This has led to the creation of the first census of the NIH-funded research workforce, revealing that in FY 2009, there were 313,049 positions supported by 247,457 people across 50,885 funded projects.
- Over 20% of these roles were held by postdocs, graduate, and undergraduate students, and the data will help estimate future workforce needs for years 2010-2014 and beyond.
Purpose: To analyze the relationship among National Institutes of Health (NIH) R01 Type 1 applicant degree, institution type, and race/ethnicity, and application award probability.
Method: The authors used 2000-2006 data from the NIH IMPAC II grants database and other sources to determine which individual and institutional characteristics of applicants may affect the probability of applications being awarded funding. They used descriptive statistics and probit models to estimate correlations between race/ethnicity, degree (MD or PhD), and institution type (medical school or other institution), and application award probability, controlling for a large set of observable characteristics.
We investigated the association between a U.S. National Institutes of Health (NIH) R01 applicant's self-identified race or ethnicity and the probability of receiving an award by using data from the NIH IMPAC II grant database, the Thomson Reuters Web of Science, and other sources.
View Article and Find Full Text PDFPurpose: The authors provide an analysis of sex differences in National Institutes of Health (NIH) award programs to inform potential initiatives for promoting diversity in the research workforce.
Method: In 2010, the authors retrieved data for NIH extramural grants in the electronic Research Administration Information for Management, Planning, and Coordination II database and used statistical analysis to determine any sex differences in securing NIH funding, as well as subsequent success of researchers who had already received independent NIH support.
Results: Success and funding rates for men and women were not significantly different in most award programs.