More data and appropriate statistical methods needed to fully measure the displacement effects of development assistance for health

Christopher J L Murray; Joseph L Dieleman; Chunling Lu; Michael Hanlon

doi:10.1371/journal.pmed.1001365

More data and appropriate statistical methods needed to fully measure the displacement effects of development assistance for health

PLoS Med. 2013;10(1):e1001365. doi: 10.1371/journal.pmed.1001365. Epub 2013 Jan 8.

Authors

Christopher J L Murray¹, Joseph L Dieleman, Chunling Lu, Michael Hanlon

Affiliation

¹ Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington, USA. cjlm@uw.edu

Abstract

Christopher Murray and colleagues provide a perspective on displacement due to development assistance for health, and argue for more data and better statistical methods to measure aid displacement.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Government
Healthcare Financing*
Humans
International Cooperation
Statistics as Topic / methods*

Grants and funding

This research was supported by core funding from the Bill & Melinda Gates Foundation (http://www.gatesfoundation.org). The funders had no role in study design, data collection and analysis, interpretation of data, decision to publish, or preparation of the manuscript. The corresponding author had full access to all data analyzed and had final responsibility for the decision to submit this original research paper for publication.