2013
DOI: 10.1016/s2214-109x(13)70017-2
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Performance-based financing at the Global Fund to Fight AIDS, Tuberculosis and Malaria: an analysis of grant ratings and funding, 2003–12

Abstract: Bill & Melinda Gates Foundation.

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Cited by 42 publications
(39 citation statements)
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“…Consistent with the literature (Radelet and Siddiqi, 2007;Fan et al, 2013), each regression model was run separately for three disease categories (HIV/AIDS, including combined TB-HIV proposals, TB, and malaria) yielding a total of 12 panel data regressions. Each regression underwent standard statistical tests for outliers in the data, multicollinearity, normality of residuals, homoscedasticity, linearity, and redundancy of predictors, as recommended by Chatterjee and Hadi (2015).…”
Section: Methodsmentioning
confidence: 99%
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“…Consistent with the literature (Radelet and Siddiqi, 2007;Fan et al, 2013), each regression model was run separately for three disease categories (HIV/AIDS, including combined TB-HIV proposals, TB, and malaria) yielding a total of 12 panel data regressions. Each regression underwent standard statistical tests for outliers in the data, multicollinearity, normality of residuals, homoscedasticity, linearity, and redundancy of predictors, as recommended by Chatterjee and Hadi (2015).…”
Section: Methodsmentioning
confidence: 99%
“…A new dataset was generated combining data on funding proposals submitted to the TRP provided by the Global Fund secretariat; TRP recommendations and Board decisions; grants and their performance; and country characteristics consistent with predictors used by previous studies (Lu et al, 2006;Katz et al, 2010;Radelet and Siddiqi, 2007;Fan et al, 2013;Bowser et al, 2014). Proposals rated 1 or 2 by the TRP were manually matched with signed grants from the grants dataset using proposal parameters provided in both datasets, including the proposal name, disease component, country, funding volumes, and the year of submission.…”
Section: Methodsmentioning
confidence: 99%
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