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Older adult care efficiency and health outcomes: a meta-analysis of the Chinese and Japanese experiences. [PDF]

Front Public Health
Li P, Suttawet C.
europepmc   +1 more source

Measuring the effect of deprivation on primary health care performance using data envelopment analysis and Malmquist Indices. [PDF]

Health Care Manag Sci
Merelie HB, Amado CAF, Dos Santos SP.
europepmc   +1 more source

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Data envelopment analysis (DEA) – Thirty years on

European Journal of Operational Research, 2009
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Wade D Cook
exaly   +3 more sources

Data envelopment analysis with missing values: An interval DEA approach

Applied Mathematics and Computation, 2006
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yiannis G Smirlis, Dimitris K Despotis
exaly   +3 more sources

Measuring ecological efficiency with data envelopment analysis (DEA)

European Journal of Operational Research, 2001
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Harald Dyckhoff
exaly   +2 more sources

Measuring Performance: An Introduction to Data Envelopment Analysis (DEA)

The Journal of Cost Analysis, 1998
Abstract Data Envelopment Analyses (DEA) is a methodology that has been used to evaluate the efficiency of entities (e.g., programs, organizations etc.) which are responsible for utilizing resources to obtain outputs of interest. It has been used to evaluate activities as varied as public schools, hospital surgical units, and real-property maintenance ...
exaly   +2 more sources

Data Envelopment Analysis (DEA)

Journal of Health Management, 2001
Measurement of efficiency of any organisation (e.g., hospital, bank, etc.) that uses multiple inputs and generates multiple outputs is complex and comparisons across units are difficult. Charnes and Cooper (1985) describe a non-parametric approach in such situations to measure efficiency and the technique is known as data envelopment analysis (DEA ...
Ramesh Bhat, Bharat Bhushan Verma, Elan Reuben   +2 more
openaire   +1 more source

Negative Data in Data Envelopment Analysis (DEA)

2022
Abstract This chapter develops a productivity analysis of the US pharmaceutical industry via Data Envelopment Analysis (DEA). This study concerns itself with 16 US pharmaceutical companies. The output variables are profit margin, operating margin, return on assets, and return on equity.
Kenneth D. Lawrence, Sheila M. Lawrence, Dinesh R. Pai   +2 more
openaire   +1 more source