Clinical Trial data sets in public domain?

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Clinical Trial data sets in public domain?

Robert Wilkins-2
Is anybody using R to do analysis of clinical trial datasets that have been
put in the public domain (which are super hard to find). Not only a single
data table, but the actual database, with a handful of data tables with
one-to-one or many-to-one relationships?

[ For example, "Adverse Events" and "Patient Info" are two datasets with a
many-to-one relationship, the "Patient Info" dataset has precisely one row
for each patient who received a dose of study drug.]

Robert Wilkins

        [[alternative HTML version deleted]]

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Re: Clinical Trial data sets in public domain?

Michael Dewey-3
Dear Robert

This might seem more suited to the Open Data site in the Stack Exchange
family. The answer must depend on what you mean by public domain as data
sets are available from drug company sites on application but presumably
with restrictions on re-publication.

Michael

On 13/01/2018 21:14, Robert Wilkins wrote:

> Is anybody using R to do analysis of clinical trial datasets that have been
> put in the public domain (which are super hard to find). Not only a single
> data table, but the actual database, with a handful of data tables with
> one-to-one or many-to-one relationships?
>
> [ For example, "Adverse Events" and "Patient Info" are two datasets with a
> many-to-one relationship, the "Patient Info" dataset has precisely one row
> for each patient who received a dose of study drug.]
>
> Robert Wilkins
>
> [[alternative HTML version deleted]]
>
> ______________________________________________
> [hidden email] mailing list -- To UNSUBSCRIBE and more, see
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>

--
Michael
http://www.dewey.myzen.co.uk/home.html

______________________________________________
[hidden email] mailing list -- To UNSUBSCRIBE and more, see
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.