About: Statistical Issues and Recommendations for Clinical Trials Conducted During the COVID-19 Pandemic

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About: Statistical Issues and Recommendations for Clinical Trials Conducted During the COVID-19 Pandemic Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Statistical Issues and Recommendations for Clinical Trials Conducted During the COVID-19 Pandemic
Creator	Li, Xin Zhou, Ming Li, Daniel Shen, Wei Wolbers, Marcel Wright, David Hale, Michael Hoffmann, F Bayer, ; Bohidar, Norman Daniel Meyer, R Dey, Jyotirmoy Englert, Stefan Fletcher, Chrissie Liu, Thomas Marchenko, Olga Quan, Hui Ratitch, Bohdana Shentu, Yue Zhao, Peng-Liang
Source	ArXiv
abstract	The COVID-19 pandemic has had and continues to have major impacts on planned and ongoing clinical trials. Its effects on trial data create multiple potential statistical issues. The scale of impact is unprecedented, but when viewed individually, many of the issues are well defined and feasible to address. A number of strategies and recommendations are put forward to assess and address issues related to estimands, missing data, validity and modifications of statistical analysis methods, need for additional analyses, ability to meet objectives and overall trial interpretability.
has issue date	2020-05-21(xsd:dateTime)
has license	arxiv
sha1sum (hex)	2c34599f5c18a730ae878214d80bed89167971dd
resource representing a document's title	Statistical Issues and Recommendations for Clinical Trials Conducted During the COVID-19 Pandemic
resource representing a document's body	covid:2c34599f5c18a730ae878214d80bed89167971dd#body_text
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