@article{hawkins_identifying_2014-1,
	title = {Identifying {Consistent} {Inconsistency} in {Network} {Meta}-{Analyses} - {An} {Illustration} {In} {Type} 2 {Diabetes}},
	volume = {17},
	issn = {1098-3015, 1524-4733},
	url = {https://www.valueinhealthjournal.com/article/S1098-3015(14)02568-6/abstract},
	doi = {10.1016/j.jval.2014.08.638},
	abstract = {Network meta-analyses (NMA) provide estimates of comparative efficacy for multiple treatments based on an analysis of connected networks of trial comparisons. A key concern is the comparability of treatment effect estimates from different trials. Where there is both indirect and direct evidence for one or more comparisons (‘loops’ in the network) it is possible to evaluate empirically the ‘consistency’ of the network.},
	language = {English},
	number = {7},
	urldate = {2019-08-06},
	journal = {Value in Health},
	author = {Hawkins, N. and Scott, D. A.},
	month = nov,
	year = {2014},
	pmid = {24968992},
	pages = {A334},
	file = {Full Text PDF:/Users/neil.hawkins/Zotero/storage/GURYI9U7/Hawkins and Scott - 2014 - Identifying Consistent Inconsistency in Network Me.pdf:application/pdf;Snapshot:/Users/neil.hawkins/Zotero/storage/X4G293FB/fulltext.html:text/html},
}

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