Literatura científica selecionada sobre o tema "Centralized statistical monitoring"
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Artigos de revistas sobre o assunto "Centralized statistical monitoring"
Anisimov, Vladimir, e Matthew Austin. "Centralized statistical monitoring of clinical trial enrollment performance". Communications in Statistics: Case Studies, Data Analysis and Applications 6, n.º 4 (28 de abril de 2020): 392–410. http://dx.doi.org/10.1080/23737484.2020.1758240.
Texto completo da fonteHu, Cheng, Shui Bao Zhang, Shou Zhi Xu e Bo Xu. "Distributed Landsilde Mornitoring by Wireless Sensor Nodes". Advanced Materials Research 594-597 (novembro de 2012): 1069–73. http://dx.doi.org/10.4028/www.scientific.net/amr.594-597.1069.
Texto completo da fonteYang, He, Jian Hai Yue e Jian Yan. "5T Information Fusion System Based on Train Technology Scheme Design". Applied Mechanics and Materials 599-601 (agosto de 2014): 1229–32. http://dx.doi.org/10.4028/www.scientific.net/amm.599-601.1229.
Texto completo da fonteBodini, Ileana, Matteo Lancini, Simone Pasinetti e David Vetturi. "Techniques for on-board vibrational passenger comfort monitoring in public transport". ACTA IMEKO 3, n.º 4 (1 de dezembro de 2014): 32. http://dx.doi.org/10.21014/acta_imeko.v3i4.152.
Texto completo da fonteGervais, Raymond R., e Richard Marcoux. "Saving Francophone Africa's Statistical Past". History in Africa 20 (1993): 385–90. http://dx.doi.org/10.2307/3171984.
Texto completo da fonteKhullar, Vikas, Harjit Pal Singh, Yini Miro, Divya Anand, Heba G. Mohamed, Deepali Gupta, Navdeep Kumar e Nitin Goyal. "IoT Fog-Enabled Multi-Node Centralized Ecosystem for Real Time Screening and Monitoring of Health Information". Applied Sciences 12, n.º 19 (30 de setembro de 2022): 9845. http://dx.doi.org/10.3390/app12199845.
Texto completo da fonteJaved, Aiza, Hira Amjad e Imran Hashmi. "Drinking water quality monitoring of centralized water storage reservoirs in various zones of the National University". NUST Journal of Engineering Sciences 15, n.º 2 (31 de dezembro de 2022): 1–9. http://dx.doi.org/10.24949/njes.v15i2.721.
Texto completo da fontePritchett, Joshua C., Bijan J. Borah, Aakash P. Desai, Zhuoer Xie, Antoine N. Saliba, Konstantinos Leventakos, Jordan D. Coffey et al. "Association of a Remote Patient Monitoring (RPM) Program With Reduced Hospitalizations in Cancer Patients With COVID-19". JCO Oncology Practice 17, n.º 9 (setembro de 2021): e1293-e1302. http://dx.doi.org/10.1200/op.21.00307.
Texto completo da fonteSakas, Damianos P., Ioannis Dimitrios G. Kamperos, Dimitrios P. Reklitis, Nikolaos T. Giannakopoulos, Dimitrios K. Nasiopoulos, Marina C. Terzi e Nikos Kanellos. "The Effectiveness of Centralized Payment Network Advertisements on Digital Branding during the COVID-19 Crisis". Sustainability 14, n.º 6 (19 de março de 2022): 3616. http://dx.doi.org/10.3390/su14063616.
Texto completo da fonteKleyn, S. V., e S. A. Vekovshinina. "Priority risk factors related to drinking water from centralized water supply system that create negative trends in population health". Health Risk Analysis, n.º 3 (setembro de 2020): 49–60. http://dx.doi.org/10.21668/health.risk/2020.3.06.
Texto completo da fonteTeses / dissertações sobre o assunto "Centralized statistical monitoring"
Niangoran, Bessekon. "Apport du monitorage statistique des données dans la gestion des essais cliniques multicentriques en Afrique". Electronic Thesis or Diss., Bordeaux, 2023. http://www.theses.fr/2023BORD0436.
Texto completo da fonteData quality is a fundamental concern of clinical research. To ensure this quality, continuous data monitoring must be practiced. International drug regulatory bodies recommend that this monitoring be targeted, based on a risk analysis. From this recommendation emerged the concept of “centralized statistical monitoring” (CSM) which consists of detecting atypical distributions of variables in a center compared to other centers. This thesis identifies existing CSM methods, proposes new ones, and compares the performances of each. In the first part, we recall the interest of the subject, in a context marked by the increase in the number of clinical trials, the need to work increasingly remotely and the need for new monitoring paradigms. In the second part, we identify existing CSM methods, analyze their performances reported in the literature and draw two major observations: (i) the number of methods is limited; (ii) their assessments through simulation studies and applications on real data reported in the literature are also limited. In the third part we propose two new CSM methods to detect the distributions of atypical variables in multicenter trials, one for quantitative data which uses a standardized distance measure (Distance method) and the other for categorical data, which uses a hierarchical Bayesian beta-binomial (HBBB) model. We evaluate the performance of these methods using clinical trial simulations and then compare them to other CSM methods identified in the literature. For quantitative data, the Distance method has performances similar to the method proposed by Desmet et al., and superior to those of the two other existing methods. For categorical data, the HBBB method has similar performance to the only other existing method, also proposed by Desmet et al. For both methods, Distance and HBBB, the sensitivity is poor overall, but the specificity is excellent, including in many scenarios involving small sample sizes. The low sensitivity suggests that the CSM is an additional tool that can be used in addition to other conventional monitoring procedures, but does not replace them. The strong specificity and user-friendliness suggest that these methods can be routinely applied in all clinical trials, as their use will not be centrally time consuming and will not create unnecessary workload in investigational centers
Trabalhos de conferências sobre o assunto "Centralized statistical monitoring"
Nixon, Steven, Mike Augustin, Dennis Dunaway e Dy Le. "Boiling Down Aviation Data: Development of the Aviation Data Distillery". In Vertical Flight Society 77th Annual Forum & Technology Display. The Vertical Flight Society, 2021. http://dx.doi.org/10.4050/f-0077-2021-16847.
Texto completo da fonteNguyen, Viet, Armando Vianna, Karel Steviano, Ahmad Zulharman, Ramadhana Aristya e Hendry Lie. "Strategic Well Landing and Risk Mitigation in Heterogeneous Formation With Deterministic Automated Inversion and Remote Monitoring". In International Petroleum Technology Conference. IPTC, 2022. http://dx.doi.org/10.2523/iptc-22230-ms.
Texto completo da fonteAlbadi, Mohamed, Ayesha Alsaeedi, Mohamed Alzeyoudi, Fahed Alharethi, Maryam Alhammadi, Manar Elabrashy e Sarath Konkati. "A Data Driven Novel Perspective for Day-To-Day Digital Integrated Asset Operation Model and Business Intelligence Tool Utilization". In International Petroleum Technology Conference. IPTC, 2024. http://dx.doi.org/10.2523/iptc-24014-ms.
Texto completo da fonteFlorescu, Oroles, Liliana Becea e Mariana Mezei. "OPTIMISING THE STRUCTURING OF PHYSICAL EFFORT DURING PHYSICAL EDUCATION LESSONS ACCORDING TO BODY PARTICULARITIES, ASSESSED THROUGH BIOELECTRIC IMPEDANCE USING BODYVISION SOFTWARE". In eLSE 2018. Carol I National Defence University Publishing House, 2018. http://dx.doi.org/10.12753/2066-026x-18-179.
Texto completo da fonte