Articles de revues : « Research risk »

1

Case, Stephen, et Kevin Haines. « Risky business ? The risk in risk factor research ». Criminal Justice Matters 80, n^o 1 (juin 2010) : 20–22. http://dx.doi.org/10.1080/09627251.2010.482234.

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Riyard, Ag Kaifah. « Risk Disclosure Research Trends : Bibliometric Evaluative Study ». International Journal of Psychosocial Rehabilitation 24, n^o 5 (31 mars 2020) : 1112–27. http://dx.doi.org/10.37200/ijpr/v24i5/pr201786.

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CIOACA, Catalin, et Sebastian POP. « RISK PLANNING IN AVIATION SCIENTIFIC RESEARCH PROJECTS ». SCIENTIFIC RESEARCH AND EDUCATION IN THE AIR FORCE 18, n^o 1 (24 juin 2016) : 139–48. http://dx.doi.org/10.19062/2247-3173.2016.18.1.18.

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PERRE, JANINE. « Risk research ». Nature 333, n^o 6168 (mai 1988) : 9. http://dx.doi.org/10.1038/333009d0.

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Thiagarajan, S. Ramu, et Barry Schachter. « Risk Parity:Rewards, Risks, and Research Opportunities ». Journal of Investing 20, n^o 1 (28 février 2011) : 79–89. http://dx.doi.org/10.3905/joi.2011.20.1.079.

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Foster, Kenneth R., et William F. Pickard. « Microwaves : the risks of risk research ». Nature 330, n^o 6148 (décembre 1987) : 531–32. http://dx.doi.org/10.1038/330531a0.

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Hanson, Daniel R. « No-Risk Research ». Contemporary Psychology : A Journal of Reviews 31, n^o 7 (juillet 1986) : 498–500. http://dx.doi.org/10.1037/024874.

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Loeb, Abraham. « Rating research risk ». Nature 484, n^o 7393 (avril 2012) : 279. http://dx.doi.org/10.1038/nj7393-279a.

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Schooler, Nina. « HIGH RISK RESEARCH ». Schizophrenia Research 153 (avril 2014) : S63. http://dx.doi.org/10.1016/s0920-9964(14)70200-2.

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Lee, Jang Woo. « A Research on Corporate Governance and Risk Taking Behavior ». Korean Data Analysis Society 21, n^o 6 (31 décembre 2019) : 2751–60. http://dx.doi.org/10.37727/jkdas.2019.21.6.2751.

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Kon, Alexander A. « The Risky Business of Assessing Research Risk ». American Journal of Bioethics 7, n^o 3 (20 mars 2007) : 21–22. http://dx.doi.org/10.1080/15265160601171663.

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Larner, Ken. « The risk of not doing risky research ». Leading Edge 13, n^o 2 (février 1994) : 114–16. http://dx.doi.org/10.1190/1.1437005.

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Siegrist, Michael. « Longitudinal Studies on Risk Research ». Risk Analysis 34, n^o 8 (27 juin 2014) : 1376–77. http://dx.doi.org/10.1111/risa.12249.

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Zhang, Zhan, Kai Li et Lei Zhang. « Research on a Risk Assessment Method considering Risk Association ». Mathematical Problems in Engineering 2016 (2016) : 1–7. http://dx.doi.org/10.1155/2016/9191360.

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Regarding risk assessment problems with multiple associated risks, a risk assessment method (RAM) is proposed in this paper. According to the risk-associated assessment information offered by expert panel, a comprehensive associated matrix is constructed to identify the influence relationship among risks so as to determine the hierarchical structure of risks. Then, based on the determined divided or undivided risk hierarchical structure as well as the possibility and loss of risks provided by expert panel, each value at risk (VAR) is calculated through knowledge related to probability theory. Finally, the feasibility and efficiency of the proposed method are demonstrated through a calculating case.

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Kan, Xinyang, Jianping Wu et Qingjun Meng. « China’s Internet Financial Risks and Risk Prevention Research ». Modern Economy 06, n^o 08 (2015) : 857–61. http://dx.doi.org/10.4236/me.2015.68080.

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Johnson, Branden B. « Risk and Culture Research ». Journal of Cross-Cultural Psychology 22, n^o 1 (mars 1991) : 141–49. http://dx.doi.org/10.1177/0022022191221010.

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Mango, Donald F. « Risk Management Research Imperatives ». North American Actuarial Journal 9, n^o 3 (juillet 2005) : iii—v. http://dx.doi.org/10.1080/10920277.2005.10596221.

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Bayne, K. A., et N. L. Garnett. « Mitigating Risk, Facilitating Research ». ILAR Journal 49, n^o 4 (1 janvier 2008) : 369–71. http://dx.doi.org/10.1093/ilar.49.4.369.

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Zhang, Sarah. « Haiyan prompts risk research ». Nature 503, n^o 7476 (novembre 2013) : 324. http://dx.doi.org/10.1038/503324a.

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Karlawish, Jason H. « The research risk assessment ». Neurobiology of Aging 21 (mai 2000) : 6. http://dx.doi.org/10.1016/s0197-4580(00)82701-3.

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Chen, Siji. « Research on Risk Management in Banking System ». Highlights in Business, Economics and Management 3 (20 janvier 2023) : 267–75. http://dx.doi.org/10.54097/hbem.v3i.4754.

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Risk management equips a bank with the tools that risk managers can use to detect, analyze and resolve risks. Risk management enlightens a business on the different ways to deal with risks by providing a guideline for sound decision-making. Risk management involves several processes like assessment, communication, monitoring and valuation of risks. A company can ensure the security of their assets and prevent losses through these processes. Also, it enables the business to weigh the options of risks and make a sound decision on investments. This paper explores the impact of risk management in banking by analyzing the risk management process, strategies, types of risks, technologies and quantitative methods in banking.

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Viscelli, Therese R., Mark S. Beasley et Dana R. Hermanson. « Research Insights About Risk Governance ». SAGE Open 6, n^o 4 (octobre 2016) : 215824401668023. http://dx.doi.org/10.1177/2158244016680230.

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In recent years, expectations for increased risk governance have been placed explicitly on boards of directors. In response, boards are being held responsible for not only understanding and approving management’s risk management processes, but they are also being held responsible for assessing the risks identified by those processes as part of overseeing management’s pursuit of value. These increasing responsibilities have led a number of organizations to adopt enterprise risk management (ERM) as a holistic approach to risk management that extends beyond traditional silo-based risk management techniques. As boards, often through their audit committee, consider management’s implementation of ERM as part of the board’s risk oversight, a number of questions emerge that can be informed by academic research related to ERM. This article summarizes findings from ERM research to provide insights related to the board’s risk governance responsibilities. We also identify a number of research questions that warrant further analysis by governance scholars. It is our hope that this article will spawn varying types of research about ERM and corporate governance.

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Kamphuis, William J. « COASTAL ENGINEERING, COASTAL RESEARCH, UNIVERSITIES AND CLIMATE CHANGE ». Coastal Engineering Proceedings, n^o 36 (30 décembre 2018) : 88. http://dx.doi.org/10.9753/icce.v36.risk.88.

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Coastal Engineering was new in 1950/1960 and at first, it was all about solving urgent coastal problems. There were no recipes, no formulas, no models; nor was there much experience at that time. Inventiveness and ingenuity were the key design ingredients. Coastal Engineering is a broad subject that is concerned with the interaction between the water and the shore. This involves fluid motion, such as waves and currents and its interaction with a shore that can be anything from sandy beaches to marshlands to highly engineered shorelines, such as found in centers with dense populations. It involves complex hydraulics and fluid mechanics principles on the one hand and complex design criteria on the other hand. It also involves detailed knowledge of the environmental systems where the projects are located. Thus, one obvious need for Coastal Engineering analysis and design is individuals with broad knowledge, interests and background. Such individuals need access to and communication with colleagues in related technical and scientific areas. As a result, much of the early coastal engineering was done at universities.

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Von Eije, J. H. (Henk), Matthijs Suurmeijer et Peter Smid. « Research and Development and Firm Risk ». Journal of Corporate Finance Research / Корпоративные Финансы | ISSN : 2073-0438 9, n^o 3 (7 octobre 2015) : 7–26. http://dx.doi.org/10.17323/j.jcfr.2073-0438.9.3.2015.7-26.

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J. H. (Henk) von Eije - University of Groningen, Faculty of Economics and Business. E-mail: j.h.von.eije@rug.nl Matthijs Suurmeijer - University of Groningen, Faculty of Economics and Business. Email: matthijs.suurmeijer@gmail.com Peter Smid - Dr, University of Groningen, Faculty of Economics and Business. E-mail: p.p.m.smid@eco.rug.nl Spending on R&D has grown faster than other investments. This may result in higher return and higher risk. We focus on the latter and examine how research and development (R&D) affects the risks of US firms. We analyze the impact on the firm’s beta, its systematic and idiosyncratic risk, and the combination of the latter two (total risk). Because investors prefer upside to downside risk, we also analyze whether downside risk is also influenced by R&D. We use panel and quantile regressions and control for dividend payouts, growth, leverage, asset liquidity, firm size, earnings variability, firm age and industry competition. We then show that the impact is positive and highly significant for beta, systematic risk and total risk. The impact on systematic risk contrasts to the finding by McAlister et al. (2007) who find that R&D insulates firms from market downturns and thereby lowers systematic risk. The increases in risks are, moreover, stronger at higher relative levels of R&D spending. Unfortunately for investors, downside risk is also increasing with relative R&D spending. The results may make it also more difficult for managers to defend R&D investments. R&D may indeed generate future returns, but also adds to the next year’s risk. The impact on systematic risk contrasts to the finding by McAlister et al. [2007] that R&D insulates firms from market downturns and thereby lowers systematic risk. While the magnitudes of the effects are small, the impact is relevant when compared with other accounting variables included in the model, especially for beta and systematic risk. Apart from this, there are strong indications that the hypothesized relationis non-linear.

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Yu, Pang. « R&D project risk management research ». E3S Web of Conferences 251 (2021) : 01100. http://dx.doi.org/10.1051/e3sconf/202125101100.

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after the 19th National Congress of the Party, with the acceleration of the construction of the new national infrastructure and the changing competitive situation of the market environment, the enterprises are challenged, which forces them to improve the R&D project management and improve the process effect and benefit. Among them, as an important part of controlling R&D project activities, project risk management has become a key concern. Therefore, risk management for R&D projects needs to be addressed through a series of measures to control risks, such as risk identification, risk evaluation, risk response and risk monitoring. Therefore, it is necessary to master its risk characteristics and target identification management points before studying R&D project risk management. In order to better identify and respond to the various risks in the project process.

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Сhen, Guo Sheng. « Research on the Risk Aversion of Plant Introduction ». Advanced Materials Research 518-523 (mai 2012) : 5351–54. http://dx.doi.org/10.4028/www.scientific.net/amr.518-523.5351.

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Due to human factors, plant introduction that makes the introduced plants cross over insurmountable space boundary under the natural brings benefits to people, but it may give rise to biodiversity decrease, genetic pollution, and habitat destruction and so on. In addition, the exotic plants may also become invasive species, leading to the ecological disaster in new habitat. It is more effective to avoid the risks of plant introduction by taking such following actions: enhancing ecological safety consciousness, strengthening the study on risk mechanism about plant introduction, establishing the introduction risk assessment system suitable for their own national characteristics, strengthening the effective supervision of the plant introduction and making the introduced plants and the local native plants realize the reproductive isolation in space-time and so on.

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Embrey, Martha, et George L. Carlo. « Wireless technology research, L.L.C.’s risk management research ». Human and Ecological Risk Assessment : An International Journal 3, n^o 1 (février 1997) : 85–95. http://dx.doi.org/10.1080/10807039709383671.

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Kot, Ekaterina, Tat'yana Zyryanova et Ol'ga Terehova. « Budget risk research : a process approach ». Agrarian Bulletin of the 203, n^o 12 (23 décembre 2020) : 83–93. http://dx.doi.org/10.32417/1997-4868-2020-203-12-83-93.

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Abstract. Competitiveness has always been the basis for building a market economy. In modern conditions, this quality should also be enjoyed by public sector institutions. Pre-education that takes place in the public sector of the economy, which mainly includes educational institutions, is aimed at creating a competitive environment among educational institutions, in which they must fight for victory in the competition to complete a state task, for applicants, for reputation, and, ultimately, for budget funding. And in this situation, various management systems, often borrowed from the commercial sphere of activity, come to the fore. One of these systems is the risk management system, which includes both the positive and negative nature of risk and its hybrid component in the modern interpretation. Existing risk management standards consider risk from these positions. Purpose of work it is a study of budget risks from the point of view of the process approach, assessment and relationship of the stages of the budget process and risks. The novelty of this work is the use of risk-based thinking to achieve the effectiveness of the quality management system of budget processes. Methods. The methodological apparatus of research on the stated problem is based on the methods of economic and comparative analysis, expert assessments. Results. The results of the study revealed a clear relationship and reflection of the main principles of the process approach in the budget process. In addition, it was determined that the budget process also has the characteristic key elements of the process approach. measures to prevent budget risks are taken jointly by the owner and participants in the budget process, using the necessary resources and following the relevant principles, while the coordinator, who is responsible for the coordinated work of participants in the process and ensures the safety and timely presentation of all potentially useful information, plays a key role in preventing and minimizing budget process risks.

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Elko, Nicole, Jeff Lillycrop, John Haines et Hilary Stockdon. « DEVELOPING A SUSTAINED AND COORDINATED U.S. COASTAL RESEARCH PROGRAM ». Coastal Engineering Proceedings, n^o 36 (30 décembre 2018) : 1. http://dx.doi.org/10.9753/icce.v36.risk.1.

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To address societal needs along the coast, a community of researchers from Federal agencies, academia, industry, & NGOs are developing a National science plan. The goal is to identify and address research priorities through better coordinated Federal activities to enhance funding sources, strengthen academic programs, and build a skilled workforce. This abstract describes a grassroots effort, initiated by researchers, that has led to meaningful engagement from the coastal community and swift action to build a National plan. The effort began in Mar 2014 when academic & Federal researchers, convened the Future of Nearshore Processes Workshop to develop a research vision to address societally-relevant coastal science challenges. They organized science needs in three broad research themes, 1) long-term coastal evolution 2) extreme events and 3) human and ecosystem health, identified a need to strengthen science infrastructure (e.g. observations and modeling) and recommended creation of a U.S. Coastal Research Program and Nearshore Advisory Council (NAC) to support the vision (Nearshore Processes Community 2015).

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Zhang, Lu. « Research of Risk Management About Construction Enterprises ». Advanced Materials Research 838-841 (novembre 2013) : 3127–30. http://dx.doi.org/10.4028/www.scientific.net/amr.838-841.3127.

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This paper studied the risk management of enterprises of construction, explore the current situation of risk management which is not sound about the mechanism of risk management within the enterprise. It is pointed that for the enterprises of construction, they exist some internal and external risks, such as legal risk in contract and the risk on the owner of construction. The results indicate reasonably that the total five thought and countermeasure on the risk of management within improving the system of risk management.

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Siegrist, Michael, et Joseph Árvai. « Risk Perception : Reflections on 40 Years of Research ». Risk Analysis 40, S1 (18 septembre 2020) : 2191–206. http://dx.doi.org/10.1111/risa.13599.

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Glass, Kathleen Cranley, et Ariella Binik. « Rethinking Risk in Pediatric Research ». Journal of Law, Medicine & ; Ethics 36, n^o 3 (2008) : 567–76. http://dx.doi.org/10.1111/j.1748-720x.2008.305.x.

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Many activities concerning the unknown involve the potential for risk, and clinical research is no exception. Some research participants experience correlative benefit; others do not. When the participants are adults, as in Phase I trials with healthy volunteers, we rely on a highly individualistic decision-making process based on autonomous choice. This assumes that the ability to make voluntary, competent, informed choices, evaluating the risks and benefits from a personal perspective, offers the best protection for research participants. Rightly or wrongly, we depend heavily on informed consent for protection. We have further refined our post-Nuremberg ethical principles by requiring that safety and toxicity of drugs and devices be first assessed on the least vulnerable. In addition, we assume Institutional Review Boards (IRBs) will screen out protocols involving an inappropriate level of risk.

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Zalom, Frank. « Pesticides : Risk, regulation and research ». California Agriculture 48, n^o 3 (mai 1994) : 2. http://dx.doi.org/10.3733/ca.v048n03p2.

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Briefel, Gary, et Judith Stiff. « Nontherapeutic Research and Minimal Risk ». IRB : Ethics and Human Research 24, n^o 3 (mai 2002) : 14. http://dx.doi.org/10.2307/3563790.

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Kimmelman, Jonathan. « Medical Research, Risk, and Bystanders ». IRB : Ethics and Human Research 27, n^o 4 (juillet 2005) : 1. http://dx.doi.org/10.2307/3563953.

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Merz, Jon F. « Is Genetics Research "Minimal Risk" ? » IRB : Ethics and Human Research 18, n^o 6 (novembre 1996) : 7. http://dx.doi.org/10.2307/3564524.

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Shukla, Ravi, et Charles A. Trzcinka. « Research on Risk and Return ». Journal of Portfolio Management 17, n^o 3 (30 avril 1991) : 15–21. http://dx.doi.org/10.3905/jpm.1991.15.

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Ashton, David, et Mark Tippett. « Systematic Risk and Empirical Research ». Journal of Business Finance Accounting 25, n^o 9-10 (novembre 1998) : 1325–56. http://dx.doi.org/10.1111/1468-5957.00240.

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FISCHHOFF, BARUCH. « Public Values in Risk Research ». ANNALS of the American Academy of Political and Social Science 545, n^o 1 (mai 1996) : 75–84. http://dx.doi.org/10.1177/0002716296545001008.

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Powell, J. Robert. « Healthy Volunteers, Risk, and Research ». Drug Intelligence & ; Clinical Pharmacy 20, n^o 10 (octobre 1986) : 776–77. http://dx.doi.org/10.1177/106002808602001007.

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Blegen, Mary A. « Research Thrust Changing ? At Risk ». Nursing Research 54, n^o 1 (janvier 2005) : 1. http://dx.doi.org/10.1097/00006199-200501000-00001.

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Savulescu, Julian. « Risk and regulation in research ». Journal of Medical Ethics 41, n^o 7 (25 juin 2015) : 503. http://dx.doi.org/10.1136/medethics-2015-102946.

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&NA;. « Risk and Benifits of Research ». Plastic Surgical Nursing 19, n^o 4 (1999) : 214. http://dx.doi.org/10.1097/00006527-199901940-00015.

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Groso, Amela, Aristide Ouedraogo et Thierry Meyer. « Risk analysis in research environment ». Journal of Risk Research 15, n^o 2 (février 2012) : 187–208. http://dx.doi.org/10.1080/13669877.2011.634513.

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Turner, Barry A. « The Future for Risk Research ». Journal of Contingencies and Crisis Management 2, n^o 3 (septembre 1994) : 146–56. http://dx.doi.org/10.1111/j.1468-5973.1994.tb00037.x.

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Behrents, Rolf G., et Ralph A. White. « TMJ research : Responsibility and risk ». American Journal of Orthodontics and Dentofacial Orthopedics 101, n^o 1 (janvier 1992) : 1–3. http://dx.doi.org/10.1016/s0889-5406(05)80208-2.

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JOHNSTON, K. « Risk adjustment in stroke research* ». Seminars in Cerebrovascular Diseases and Stroke 3, n^o 2 (juin 2003) : 100–106. http://dx.doi.org/10.1053/scds.2003.0017.

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Wendler, David, et Sumeeta Varma. « Minimal risk in pediatric research ». Journal of Pediatrics 149, n^o 6 (décembre 2006) : 855–61. http://dx.doi.org/10.1016/j.jpeds.2006.08.064.

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Modi, Neena. « Risk management in neonatal research ». Seminars in Fetal and Neonatal Medicine 10, n^o 1 (février 2005) : 99–104. http://dx.doi.org/10.1016/j.siny.2004.09.010.

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Nunes, Carla, et Amilcar Soares. « Stochastic environmental research risk assessment ». Ecological Modelling 201, n^o 2 (février 2007) : 118–26. http://dx.doi.org/10.1016/j.ecolmodel.2006.09.003.

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Articles de revues sur le sujet « Research risk »

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