Ideas to action: independent research for global prosperity
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WORKING PAPERS
April 11, 2018
We examine alternative strategies for targeted sampling of health clinics for independent verification. Our results indicate that machine learning methods, particularly Random Forest, outperform other approaches and can increase the cost-effectiveness of verification activities.
WORKING PAPERS
June 27, 2017
We assessed the methodological quality of global health program evaluations from five major funders between 2009 and 2014. We found that most evaluations did not meet social science methodological standards in terms of relevance, validity, and reliability. Nevertheless, good quality evaluations made...