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Journal articles on the topic 'Utility analysis'

Author: Grafiati

Published: 4 June 2021

Last updated: 27 April 2022

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1

Vance, Robert J., and Adrienne Colella. "The Utility of Utility Analysis." Human Performance 3, no. 2 (June 1990): 123–39. http://dx.doi.org/10.1207/s15327043hup0302_4.

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2

Candia, Roberto, David Naimark, Beate Sander, and Geoffrey C. Nguyen. "Cost–utility Analysis." Inflammatory Bowel Diseases 23, no. 11 (November 2017): 1930–40. http://dx.doi.org/10.1097/mib.0000000000001233.

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3

Minshall, Michael. "Cost-Utility Analysis:." Journal of Research in Pharmaceutical Economics 9, no. 3 (September 1, 1998): 69–83. http://dx.doi.org/10.1300/j063v09n03_06.

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4

Nicholls, A. "Cost-utility analysis." BMJ 307, no. 6913 (November 6, 1993): 1213. http://dx.doi.org/10.1136/bmj.307.6913.1213.

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5

Brown, Gary C., Melissa M. Brown, and Sanjay Sharma. "Cost–Utility Analysis." Annals of Internal Medicine 134, no. 7 (April 3, 2001): 625. http://dx.doi.org/10.7326/0003-4819-134-7-200104030-00021.

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6

Neumann, Peter J., Richard H. Chapman, and Patricia W. Stone. "Cost–Utility Analysis." Annals of Internal Medicine 134, no. 7 (April 3, 2001): 626. http://dx.doi.org/10.7326/0003-4819-134-7-200104030-00022.

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7

Chatterjee, Abhishek, David Macarios, Leah Griffin, Tomasz Kosowski, Bryan J. Pyfer, Anaeze C. Offodile, Daniel Driscoll, Sirish Maddali, and John Attwood. "Cost-Utility Analysis." Plastic and Reconstructive Surgery - Global Open 3, no. 11 (November 2015): e566. http://dx.doi.org/10.1097/gox.0000000000000551.

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8

Robinson, R. "Cost-utility analysis." BMJ 307, no. 6908 (October 2, 1993): 859–62. http://dx.doi.org/10.1136/bmj.307.6908.859.

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9

Brown, Gary C., Melissa M. Brown, Peter Kertes, and Joshua Stein. "COST-UTILITY ANALYSIS." Evidence-Based Ophthalmology 12, no. 4 (October 2011): 218–23. http://dx.doi.org/10.1097/ieb.0b013e31823044da.

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10

Brown, M. "Utility analysis tells all." British Journal of Ophthalmology 89, no. 10 (October 1, 2005): 1233. http://dx.doi.org/10.1136/bjo.2005.074294.

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11

Streufert, P. A. "Abstract Recursive Utility." Journal of Mathematical Analysis and Applications 175, no. 1 (May 1993): 169–85. http://dx.doi.org/10.1006/jmaa.1993.1160.

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12

Bian, Baojun, Xinfu Chen, and Zuo Quan Xu. "Utility Maximization Under Trading Constraints with Discontinuous Utility." SIAM Journal on Financial Mathematics 10, no. 1 (January 2019): 243–60. http://dx.doi.org/10.1137/18m1174659.

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13

Brown, Melissa M., Gary C. Brown, and Peter Kertes. "VALUE-BASED MEDICINE ANALYSIS: OPHTHALMIC COST-UTILITY ANALYSES." Evidence-Based Ophthalmology 8, no. 3 (July 2007): 181–87. http://dx.doi.org/10.1097/ieb.0b013e3180ca9a8a.

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14

Wieczorek, Andrzej. "Joint pseudo-utility representations." Journal of Mathematical Analysis and Applications 169, no. 1 (September 1992): 10–19. http://dx.doi.org/10.1016/0022-247x(92)90100-r.

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15

Kleppe, Andreas, and Håvard E. Danielsen. "Clinical utility of chromatin analysis." Oncotarget 9, no. 65 (August 21, 2018): 32406–7. http://dx.doi.org/10.18632/oncotarget.25991.

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16

Vitasovic, Zdenko Cello, Gustaf Olsson, Barry Liner, Michael Sweeney, and Varouj Abkian. "Utility Analysis and Integration Model." Journal - American Water Works Association 107, no. 8 (August 2015): 64–71. http://dx.doi.org/10.5942/jawwa.2015.107.0117.

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17

Pereira, Marco Antonio, Alexandre Evaristo Pinto, João Estevão Barbosa Neto, and Eliseu Martins. "Deprival value: information utility analysis." Revista Contabilidade & Finanças 29, no. 76 (April 2018): 16–25. http://dx.doi.org/10.1590/1808-057x201805200.

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ABSTRACT This article contributes to the perception that the users’ learning process plays a key role in order to apply an accounting concept and this involves a presentation that fits its informative potential, free of previous accounting fixations. Deprival value is a useful measure for managerial and corporate purposes, it may be applied to the current Conceptual Framework of the International Accounting Standards Board (IASB). This study analyzes its utility, taking into account cognitive aspects. Also known as value to the business, deprival value is a measurement system that followed a path where it was misunderstood, confused with another one, it faced resistance to be implemented and fell into disuse; everything that a standardized measurement method tries to avoid. In contrast, deprival value has found support in the academy and in specific applications, such as those related to the public service regulation. The accounting area has been impacted by sophistication of the measurement methods that increasingly require the ability to analyze accounting facts on an economic basis, at the risk of loss of their information content. This development becomes possible only when the potential of a measurement system is known and it is feasible to be achieved. This study consists in a theoretical essay based on literature review to discuss its origin, presentation, and application. Considering the concept’s cognitive difficulties, deprival value was analyzed, as well as its corresponding heteronym, value to the business, in order to explain some of these changes. The concept’s utility was also explored through cross-analysis with impairment and the scheme developed was applied to actual economic situations faced by a company listed on stock exchange.

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18

Sturman, M. "Utility analysis: Definition and history." Cornell Hotel and Restaurant Administration Quarterly 44, no. 2 (April 2003): 109–16. http://dx.doi.org/10.1016/s0010-8804(03)90024-3.

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19

Hamilton, D., C. Hulme, L. Flood, and S. Powell. "Cost–utility analysis and otolaryngology." Journal of Laryngology & Otology 128, no. 2 (February 2014): 112–18. http://dx.doi.org/10.1017/s0022215114000048.

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AbstractAs providers of health care, we face increasing demand on our limited, indeed diminishing, resources. Economic appraisal of our interventions means assessing the trade-off between effectiveness, efficiency and equity. When rationing becomes inevitable, calculation of utility values is a valuable decision-making tool. This paper reviews objective measures of patient benefit, such as quality of life, and focuses on their application within otolaryngology.

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20

Rowold, Jens, and Martina Mönninghoff. "Strategic human resource utility analysis." Journal of Human Resource Costing & Accounting 9, no. 1 (January 2005): 10–25. http://dx.doi.org/10.1108/14013380510636676.

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21

Greer, Jesse A. "Utility Analysis: Implementation Before Integration." Industrial and Organizational Psychology 7, no. 4 (December 2014): 569–70. http://dx.doi.org/10.1017/s1754942600006891.

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22

LATHAM, GARY P., and GLEN WHYTE. "THE FUTILITY OF UTILITY ANALYSIS." Personnel Psychology 47, no. 1 (March 1994): 31–46. http://dx.doi.org/10.1111/j.1744-6570.1994.tb02408.x.

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23

Greer, Jesse A. "Utility Analysis: Implementation Before Integration." Industrial and Organizational Psychology 7, no. 4 (December 2014): 569–70. http://dx.doi.org/10.1111/iops.12196.

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24

Park, Jaewook, Nobuoto Nojima, and Dorothy A. Reed. "Nisqually Earthquake Electric Utility Analysis." Earthquake Spectra 22, no. 2 (May 2006): 491–509. http://dx.doi.org/10.1193/1.2198872.

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The performance of an urban electric utility distribution system was evaluated for the February 2001 Nisqually earthquake. The restoration rate of the lifeline following the event was determined; the distribution of outage durations was estimated; and correlations between lifeline damage and instrumental Modified Mercalli intensity, peak ground velocity, and peak ground acceleration values were ascertained using a GIS (geographical information systems) approach. Using a logit regression analysis, a fragility curve was developed for the lifeline in a manner similar to O'Rourke's formulation of water-line performance (O'Rourke et. al. 2000). Extrapolation of the model to the Seattle Fault earthquake scenario was made to demonstrate its feasibility for prediction.

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25

MYORS, BRETT. "Utility Analysis Based on Tenure." Journal of Human Resource Costing & Accounting 3, no. 2 (February 1998): 41–50. http://dx.doi.org/10.1108/eb029047.

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26

Critchlow, Barbara. "A utility analysis of drinking." Addictive Behaviors 12, no. 3 (January 1987): 269–73. http://dx.doi.org/10.1016/0306-4603(87)90038-4.

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27

Diacon, Stephen. "Utility analysis, luxuries and risk." Economics Letters 91, no. 3 (June 2006): 402–7. http://dx.doi.org/10.1016/j.econlet.2005.12.025.

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28

Wang, R., Y. Xing, Y. Lu, S. Lou, M. Wu, N. Yuan, and T. Xiong. "PNS48 The Analysis of Sources of Utility Values USED in Cost-Utility Analyses in China." Value in Health Regional Issues 22 (September 2020): S89—S90. http://dx.doi.org/10.1016/j.vhri.2020.07.467.

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29

Yoon, Alexander Y., Laura Bozzuto, Andrew J. Seto, Carla S. Fisher, and Abhishek Chatterjee. "ASO Author Reflections: Cost-Utility Analysis, Utility Scores, and Surgical Oncology." Annals of Surgical Oncology 26, S3 (June 21, 2019): 649–50. http://dx.doi.org/10.1245/s10434-019-07398-5.

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30

Mancano, Michael A., and Michael F. Bullano. "Meta-Analysis: Methodology, Utility, and Limitations." Journal of Pharmacy Practice 11, no. 4 (August 1998): 239–50. http://dx.doi.org/10.1177/089719009801100403.

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Meta-analyses are statistical methods to evaluate large numbers of clinical trial data sets to answer specific clinical questions. Meta-analyses can be performed when large clinical trials are not available or prior to their availability. It is essential for pharmacists to effectively evaluate potential methodological problems and be aware of the current controversies surrounding meta-analysis. This article will focus on the components of a properly performed meta-analysis and the many sources of bias inherent in a literature review of this magnitude. A suggested reading list of in-depth references concerning the many aspects of meta-analysis is provided for the interested reader.

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31

Ament, Jared D., and Kee D. Kim. "Standardizing cost-utility analysis in neurosurgery." Neurosurgical Focus 33, no. 1 (July 2012): E4. http://dx.doi.org/10.3171/2012.4.focus1288.

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This review seeks to introduce the concept of cost-utility analysis in neurosurgery and to highlight its essential components. It also includes a suggested approach to standardization, which would help bring more credence to this research and potentially affect management choices, reimbursement, and policy.

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32

Vitasovic, Z. Cello. "Utility Analysis and Improvement Model (UAIM)." Proceedings of the Water Environment Federation 2016, no. 1 (January 1, 2016): 101–5. http://dx.doi.org/10.2175/193864716821123918.

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33

McDonough, Christine M., and Anna N. A. Tosteson. "Measuring Preferences for Cost-Utility Analysis." PharmacoEconomics 25, no. 2 (2007): 93–106. http://dx.doi.org/10.2165/00019053-200725020-00003.

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34

Carr, Adam F. "Utility Analysis and Human Resources Management." Public Productivity Review 12, no. 2 (1988): 131. http://dx.doi.org/10.2307/3380127.

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35

Kitamura, Yuichi, and Jörg Stoye. "Nonparametric Analysis of Random Utility Models." Econometrica 86, no. 6 (2018): 1883–909. http://dx.doi.org/10.3982/ecta14478.

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36

Vitasovic, Z. Cello. "Utility Analysis and Improvement Model (UAIM)." Proceedings of the Water Environment Federation 2015, no. 4 (January 1, 2015): 1–5. http://dx.doi.org/10.2175/193864715819556994.

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37

Ellison, J. W., J. B. Ravnan, J. A. Rosenfeld, S. A. Morton, N. J. Neill, M. S. Williams, J. Lewis, et al. "Clinical Utility of Chromosomal Microarray Analysis." PEDIATRICS 130, no. 5 (October 15, 2012): e1085-e1095. http://dx.doi.org/10.1542/peds.2012-0568.

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38

Chaudhuri, Surajit, and Vivek Narasayya. "AutoAdmin “what-if” index analysis utility." ACM SIGMOD Record 27, no. 2 (June 1998): 367–78. http://dx.doi.org/10.1145/276305.276337.

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39

Simoons, M. L., J. Vos, and L. L. Martens. "Cost-utility analysis of thrombolytic therapy." European Heart Journal 12, no. 6 (June 1991): 694–99. http://dx.doi.org/10.1093/eurheartj/12.6.694.

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40

Thurston, D. L. "Multiattribute utility analysis in design management." IEEE Transactions on Engineering Management 37, no. 4 (1990): 296–301. http://dx.doi.org/10.1109/17.62329.

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41

Raju, Nambury S., Michael J. Burke, and Jacques Normand. "A new approach for utility analysis." Journal of Applied Psychology 75, no. 1 (1990): 3–12. http://dx.doi.org/10.1037/0021-9010.75.1.3.

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42

Swindlehurst, Gregg B. "A Utility Perspective on Subchannel Analysis." Nuclear Technology 112, no. 3 (December 1995): 355–58. http://dx.doi.org/10.13182/nt95-a35161.

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43

Kuntz, Karen M. "Decision Modeling for Cost-Utility Analysis." Value in Health 19, no. 6 (September 2016): 700–701. http://dx.doi.org/10.1016/j.jval.2016.06.003.

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44

Strong, Carson. "The Limited Utility of Utilitarian Analysis." American Journal of Bioethics 6, no. 3 (July 2006): 67–69. http://dx.doi.org/10.1080/15265160600686141.

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45

Shook, Vanessa. "Utility Creates Innovative Water Analysis Unit." Opflow 43, no. 12 (December 2017): 20–21. http://dx.doi.org/10.5991/opf.2017.43.0081.

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46

Borisenko, O., V. Lukyanov, and A. R. Ahmed. "Cost-utility analysis of bariatric surgery." British Journal of Surgery 105, no. 10 (April 17, 2018): 1328–37. http://dx.doi.org/10.1002/bjs.10857.

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47

Fuglsang-Frederiksen, Anders. "The utility of interference pattern analysis." Muscle & Nerve 23, no. 1 (January 2000): 18–36. http://dx.doi.org/10.1002/(sici)1097-4598(200001)23:1<18::aid-mus4>3.0.co;2-b.

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48

Seidel, Harris F. "Water Utility Operating Data: An Analysis." Journal - American Water Works Association 77, no. 5 (May 1985): 34–41. http://dx.doi.org/10.1002/j.1551-8833.1985.tb05536.x.

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49

Becker, Joao L., and Rakesh K. Sarin. "Decision analysis using lottery-dependent utility." Journal of Risk and Uncertainty 2, no. 1 (April 1989): 105–17. http://dx.doi.org/10.1007/bf00055712.

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50

Bedimo, Ariane Lisann, Steven D. Pinkerton, Deborah A. Cohen, Bradley Gray, and Thomas A. Farley. "Condom distribution: a cost–utility analysis." International Journal of STD & AIDS 13, no. 6 (June 1, 2002): 384–92. http://dx.doi.org/10.1258/095646202760029804.

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Objective: To explore the cost-effectiveness of a condom distribution programme. Methods: We conducted a cost-utility analysis of a social marketing campaign in which over 33 million condoms were made freely available throughout Louisiana. Surveys among 275,000 African Americans showed that condom use increased by 30%. Based on the estimated cost of the intervention and costs of HIV/AIDS-associated medical treatment, we estimated the quality-adjusted life years (QALYs) saved, and number of HIV infections averted by the programme. Results: The programme was estimated to prevent 170 HIV infections and save 1909 QALYs. Over $33 million in medical care costs were estimated to be averted, resulting in cost savings. Sensitivity analyses showed that these results were quite stable over a range of estimates for the main parameters. Condom increases as small as 2.7% were still cost-saving. Conclusion: Condom distribution is a community-level HIV prevention intervention that has the potential to reach large segments of the general population, thereby averting significant numbers of HIV infections and associated medical costs. The intervention is easy to scale up to large populations or down to small populations. The financial and health benefits of condom social marketing support making it a routine component of HIV prevention services nationally.

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