Risk Based Monitoring in Clinical Trial: An Application with Neural Networking

Atanu B, Savanur S and Suman K
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Atanu B: Centre for Cancer Epidemiology, Tata Memorial Centre, India
Savanur S: Department of Biometrics, Chiltern Clinical Research Ltd, India
Suman K: Department of Biostatistics, Quintiles IMS,India

Biostatistics and Biometrics Open Access Journal, 2017, vol. 3, issue 5, 155-160

Abstract: There are limited literature on statistical methods to deal with Risk based monitoring (RBM) in clinical trial. Recently, it is becoming one of the emerging areas where a party has limited resources for completion of new approaches to trial oversight. This paper is dedicated to provide the application of neural network-ing as a choice to maintain the RBM in clinical research. It is expected that pharmaceutical industries will adopt this procedure in near future for continuous assessment of RBM in their routine clinical trial.

Keywords: Biometrics Open Access Journal; Biostatistics and Biometrics; Biostatistics and Biometrics Open Access Journal; Open Access Journals; biometrics journal; biometrics articles; biometrics journal reference; biometrics journal impact factor; biometrics and biostatistics journal impact factor; journal of biometrics; open access juniper publishers; juniper publishers reivew (search for similar items in EconPapers)
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:adp:jbboaj:v:3:y:2017:i:5:p:155-160

DOI: 10.19080/BBOAJ.2017.03.555624

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