@article{oostenbrink_expected_2008-1,
	title = {Expected {Value} of {Perfect} {Information}: {An} {Empirical} {Example} of {Reducing} {Decision} {Uncertainty} by {Conducting} {Additional} {Research}},
	volume = {11},
	issn = {10983015},
	shorttitle = {Expected {Value} of {Perfect} {Information}},
	url = {https://linkinghub.elsevier.com/retrieve/pii/S1098301510605888},
	doi = {10.1111/j.1524-4733.2008.00389.x},
	abstract = {Objective: Value of information (VOI) analysis informs decision-makers about the expected value of conducting more research to support a decision. This expected value of (partial) perfect information (EV(P)PI) can be estimated by simultaneously eliminating uncertainty on all (or some) parameters involved in model-based decision-making. This study aimed to calculate the EVPPI, before and after collecting additional information on the parameter of a probabilistic Markov model with the highest EVPPI.},
	language = {en},
	number = {7},
	urldate = {2019-05-01},
	journal = {Value in Health},
	author = {Oostenbrink, Jan B. and Al, Maiwenn J. and Oppe, Mark and Rutten-van Mölken, Maureen P.M.H.},
	month = dec,
	year = {2008},
	pages = {1070--1080},
	file = {Oostenbrink et al. - 2008 - Expected Value of Perfect Information An Empirica.pdf:/Users/neil.hawkins/Zotero/storage/55HJXTHE/Oostenbrink et al. - 2008 - Expected Value of Perfect Information An Empirica.pdf:application/pdf},
}

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