Literature DB >> 21830929

BayesWeb: a user-friendly platform for exploratory Bayesian analysis of safety signals from small clinical trials.

John A Scott1, Austin L Hand, Layla S Sian.   

Abstract

Safety signals observed in early-phase clinical trials can have profound implications for the development of new medical products. It is difficult to interpret the occurrence of safety signals in small clinical trials, where formal inferential procedures may be impractical. We advocate wider use of simple Bayesian methods to explore and understand safety signals from small clinical trials. We describe a new web-based application, BayesWeb.com, that makes such exploratory Bayesian methods accessible to subject-matter experts. We illustrate the use of this software with an example from a hypothetical phase I trial for a Factor VIII product for patients with hemophilia A.

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Year:  2011        PMID: 21830929     DOI: 10.1080/10543406.2011.590924

Source DB:  PubMed          Journal:  J Biopharm Stat        ISSN: 1054-3406            Impact factor:   1.051


  2 in total

1.  A simulation study of the strength of evidence in the recommendation of medications based on two trials with statistically significant results.

Authors:  Don van Ravenzwaaij; John P A Ioannidis
Journal:  PLoS One       Date:  2017-03-08       Impact factor: 3.240

2.  The prevention of chemotherapy induced peripheral neuropathy by concurrent treatment with drugs used for bipolar disease: a retrospective chart analysis in human cancer patients.

Authors:  Roxanne J Wadia; Marilyn Stolar; Clarice Grens; Barbara E Ehrlich; Herta H Chao
Journal:  Oncotarget       Date:  2017-12-19
  2 in total

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