In this section
@article{Longford:2018:10.1002/sim.7525,
author = {Longford, NT},
doi = {10.1002/sim.7525},
journal = {Statistics in Medicine},
pages = {457--472},
title = {Decision theory for comparing institutions},
url = {http://dx.doi.org/10.1002/sim.7525},
volume = {37},
year = {2018}
}
TY - JOUR
AB - Various forms of performance assessment are applied to public service institutions, such as hospitals, schools, police units, and local authorities. Difficulties arise in the interpretation of the results presented in some established formats because they require a good understanding and appreciation of the uncertainties involved. Usually the results have to be adapted to the perspectives of the users—managers of the assessed units, a consumer, or a central authority (a watchdog) that dispenses awards and sanctions. We present a decisiontheoretical approach to these and related problems in which the perspectives are integrated in the analysis and its results are choices from a finite list of options (alternative courses of action).
AU - Longford,NT
DO - 10.1002/sim.7525
EP - 472
PY - 2018///
SN - 0277-6715
SP - 457
TI - Decision theory for comparing institutions
T2 - Statistics in Medicine
UR - http://dx.doi.org/10.1002/sim.7525
UR - http://hdl.handle.net/10044/1/50883
VL - 37
ER -
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