#pharmaverse — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #pharmaverse, aggregated by home.social.
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Here's the third (and last!) entry in a series of blog posts on the #cdisc Dataset-JSON standard. This entry goes over the REST API component and potential issues with it.
Pushing for the future of #clinicaltrial #data (and related to the #pharmaverse and #rstats folks in #biomedicalresearch) and better workflows for running those trials.
https://brianrepko.github.io/blog/posts/2026-03-11-datasetjson-part3/
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Here's the third (and last!) entry in a series of blog posts on the #cdisc Dataset-JSON standard. This entry goes over the REST API component and potential issues with it.
Pushing for the future of #clinicaltrial #data (and related to the #pharmaverse and #rstats folks in #biomedicalresearch) and better workflows for running those trials.
https://brianrepko.github.io/blog/posts/2026-03-11-datasetjson-part3/
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Here's the third (and last!) entry in a series of blog posts on the #cdisc Dataset-JSON standard. This entry goes over the REST API component and potential issues with it.
Pushing for the future of #clinicaltrial #data (and related to the #pharmaverse and #rstats folks in #biomedicalresearch) and better workflows for running those trials.
https://brianrepko.github.io/blog/posts/2026-03-11-datasetjson-part3/
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Here's the third (and last!) entry in a series of blog posts on the #cdisc Dataset-JSON standard. This entry goes over the REST API component and potential issues with it.
Pushing for the future of #clinicaltrial #data (and related to the #pharmaverse and #rstats folks in #biomedicalresearch) and better workflows for running those trials.
https://brianrepko.github.io/blog/posts/2026-03-11-datasetjson-part3/
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Here's the third (and last!) entry in a series of blog posts on the #cdisc Dataset-JSON standard. This entry goes over the REST API component and potential issues with it.
Pushing for the future of #clinicaltrial #data (and related to the #pharmaverse and #rstats folks in #biomedicalresearch) and better workflows for running those trials.
https://brianrepko.github.io/blog/posts/2026-03-11-datasetjson-part3/
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If you do any work with clinical trial data in R, take a look at the {ducklake} R package @travisgerke just released: https://tgerke.github.io/ducklake-r/index.html He wrapped duckdb's ducklake extension into easy-to-use R functions, that slot right into the {tidyverse} ecosystem. He also demonstrates how this can be applied to clinical trial data. He takes advantage of the #pharmaverse R tooling to transform SDTM data into analysis-ready ADaM datasets, and uses {ducklake} to create a complete audit trail. 😍 #RStats
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If you do any work with clinical trial data in R, take a look at the {ducklake} R package @travisgerke just released: https://tgerke.github.io/ducklake-r/index.html He wrapped duckdb's ducklake extension into easy-to-use R functions, that slot right into the {tidyverse} ecosystem. He also demonstrates how this can be applied to clinical trial data. He takes advantage of the #pharmaverse R tooling to transform SDTM data into analysis-ready ADaM datasets, and uses {ducklake} to create a complete audit trail. 😍 #RStats
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If you do any work with clinical trial data in R, take a look at the {ducklake} R package @travisgerke just released: https://tgerke.github.io/ducklake-r/index.html He wrapped duckdb's ducklake extension into easy-to-use R functions, that slot right into the {tidyverse} ecosystem. He also demonstrates how this can be applied to clinical trial data. He takes advantage of the #pharmaverse R tooling to transform SDTM data into analysis-ready ADaM datasets, and uses {ducklake} to create a complete audit trail. 😍 #RStats
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If you do any work with clinical trial data in R, take a look at the {ducklake} R package @travisgerke just released: https://tgerke.github.io/ducklake-r/index.html He wrapped duckdb's ducklake extension into easy-to-use R functions, that slot right into the {tidyverse} ecosystem. He also demonstrates how this can be applied to clinical trial data. He takes advantage of the #pharmaverse R tooling to transform SDTM data into analysis-ready ADaM datasets, and uses {ducklake} to create a complete audit trail. 😍 #RStats
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If you do any work with clinical trial data in R, take a look at the {ducklake} R package @travisgerke just released: https://tgerke.github.io/ducklake-r/index.html He wrapped duckdb's ducklake extension into easy-to-use R functions, that slot right into the {tidyverse} ecosystem. He also demonstrates how this can be applied to clinical trial data. He takes advantage of the #pharmaverse R tooling to transform SDTM data into analysis-ready ADaM datasets, and uses {ducklake} to create a complete audit trail. 😍 #RStats
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@kupac @R_Foundation Hear, hear!
Concrete example is probably all of the clinical trial statistical analysis being done in R. #pharmaverse
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@kupac @R_Foundation Hear, hear!
Concrete example is probably all of the clinical trial statistical analysis being done in R. #pharmaverse
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@kupac @R_Foundation Hear, hear!
Concrete example is probably all of the clinical trial statistical analysis being done in R. #pharmaverse
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@kupac @R_Foundation Hear, hear!
Concrete example is probably all of the clinical trial statistical analysis being done in R. #pharmaverse
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@kupac @R_Foundation Hear, hear!
Concrete example is probably all of the clinical trial statistical analysis being done in R. #pharmaverse
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Here's the second entry in a series of blog posts on the #cdisc Dataset-JSON standard. This entry goes over potential issues with the specification.
Pushing for the future of #clinicaltrial #data (and related to the #pharmaverse and #rstats folks in #biomedicalresearch).
Here's to moving past 1989 file formats in ... 2026 - in SAS, R, or Python!
https://brianrepko.github.io/blog/posts/2026-01-15-datasetjson-part2/
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Here's the second entry in a series of blog posts on the #cdisc Dataset-JSON standard. This entry goes over potential issues with the specification.
Pushing for the future of #clinicaltrial #data (and related to the #pharmaverse and #rstats folks in #biomedicalresearch).
Here's to moving past 1989 file formats in ... 2026 - in SAS, R, or Python!
https://brianrepko.github.io/blog/posts/2026-01-15-datasetjson-part2/
-
Here's the second entry in a series of blog posts on the #cdisc Dataset-JSON standard. This entry goes over potential issues with the specification.
Pushing for the future of #clinicaltrial #data (and related to the #pharmaverse and #rstats folks in #biomedicalresearch).
Here's to moving past 1989 file formats in ... 2026 - in SAS, R, or Python!
https://brianrepko.github.io/blog/posts/2026-01-15-datasetjson-part2/
-
Here's the second entry in a series of blog posts on the #cdisc Dataset-JSON standard. This entry goes over potential issues with the specification.
Pushing for the future of #clinicaltrial #data (and related to the #pharmaverse and #rstats folks in #biomedicalresearch).
Here's to moving past 1989 file formats in ... 2026 - in SAS, R, or Python!
https://brianrepko.github.io/blog/posts/2026-01-15-datasetjson-part2/
-
Here's the second entry in a series of blog posts on the #cdisc Dataset-JSON standard. This entry goes over potential issues with the specification.
Pushing for the future of #clinicaltrial #data (and related to the #pharmaverse and #rstats folks in #biomedicalresearch).
Here's to moving past 1989 file formats in ... 2026 - in SAS, R, or Python!
https://brianrepko.github.io/blog/posts/2026-01-15-datasetjson-part2/
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First entry in a series of blog posts on the #cdisc Dataset-JSON standard. Diving in on the future of #clinical #research #data (and related to the #pharmaverse and #rstats folks in #biomedicalresearch)
https://brianrepko.github.io/blog/posts/2025-12-31-datasetjson-part1/
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First entry in a series of blog posts on the #cdisc Dataset-JSON standard. Diving in on the future of #clinical #research #data (and related to the #pharmaverse and #rstats folks in #biomedicalresearch)
https://brianrepko.github.io/blog/posts/2025-12-31-datasetjson-part1/
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First entry in a series of blog posts on the #cdisc Dataset-JSON standard. Diving in on the future of #clinical #research #data (and related to the #pharmaverse and #rstats folks in #biomedicalresearch)
https://brianrepko.github.io/blog/posts/2025-12-31-datasetjson-part1/
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First entry in a series of blog posts on the #cdisc Dataset-JSON standard. Diving in on the future of #clinical #research #data (and related to the #pharmaverse and #rstats folks in #biomedicalresearch)
https://brianrepko.github.io/blog/posts/2025-12-31-datasetjson-part1/
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First entry in a series of blog posts on the #cdisc Dataset-JSON standard. Diving in on the future of #clinical #research #data (and related to the #pharmaverse and #rstats folks in #biomedicalresearch)
https://brianrepko.github.io/blog/posts/2025-12-31-datasetjson-part1/
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Honored to be a speaker at R/Pharma - my presentation is a pre-recorded one that plays today. Kind of cool to take my experience as a software engineer in Java and share that with the R community and specifically the pharmaverse developers. Talk is about the potential of using ATDD/BDD/SbE for validating software that is used to run clinical trials and create the submissions to regulatory agencies. Blogged about it here https://brianrepko.github.io/blog/posts/2025-11-06-quarto-gherkin/
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Honored to be a speaker at R/Pharma - my presentation is a pre-recorded one that plays today. Kind of cool to take my experience as a software engineer in Java and share that with the R community and specifically the pharmaverse developers. Talk is about the potential of using ATDD/BDD/SbE for validating software that is used to run clinical trials and create the submissions to regulatory agencies. Blogged about it here https://brianrepko.github.io/blog/posts/2025-11-06-quarto-gherkin/
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Honored to be a speaker at R/Pharma - my presentation is a pre-recorded one that plays today. Kind of cool to take my experience as a software engineer in Java and share that with the R community and specifically the pharmaverse developers. Talk is about the potential of using ATDD/BDD/SbE for validating software that is used to run clinical trials and create the submissions to regulatory agencies. Blogged about it here https://brianrepko.github.io/blog/posts/2025-11-06-quarto-gherkin/
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Honored to be a speaker at R/Pharma - my presentation is a pre-recorded one that plays today. Kind of cool to take my experience as a software engineer in Java and share that with the R community and specifically the pharmaverse developers. Talk is about the potential of using ATDD/BDD/SbE for validating software that is used to run clinical trials and create the submissions to regulatory agencies. Blogged about it here https://brianrepko.github.io/blog/posts/2025-11-06-quarto-gherkin/
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Honored to be a speaker at R/Pharma - my presentation is a pre-recorded one that plays today. Kind of cool to take my experience as a software engineer in Java and share that with the R community and specifically the pharmaverse developers. Talk is about the potential of using ATDD/BDD/SbE for validating software that is used to run clinical trials and create the submissions to regulatory agencies. Blogged about it here https://brianrepko.github.io/blog/posts/2025-11-06-quarto-gherkin/
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Recording+slides now available! 🕺
R/Medicine+R Consortium Webinar on {ggsurvfit}
Check it out if you're involved in analysis of survival data.
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Recording+slides now available! 🕺
R/Medicine+R Consortium Webinar on {ggsurvfit}
Check it out if you're involved in analysis of survival data.
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Recording+slides now available! 🕺
R/Medicine+R Consortium Webinar on {ggsurvfit}
Check it out if you're involved in analysis of survival data.
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Recording+slides now available! 🕺
R/Medicine+R Consortium Webinar on {ggsurvfit}
Check it out if you're involved in analysis of survival data.
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Recording+slides now available! 🕺
R/Medicine+R Consortium Webinar on {ggsurvfit}
Check it out if you're involved in analysis of survival data.
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Help #rstats, I am looking for a package that helps monitoring/QC clinical trials. I can find many related tasks in #pharmaverse and CRAN but none about checking that patients came in the right visit, the sample is correctly labeled, that all patients provided the same number of samples or similar things 😅 .
My crude solution already have found 5 errors in a study 😃
But I will need to check several studies soon. Is there anything I could use or should I provide my own solution?
Thanks! -
Help #rstats, I am looking for a package that helps monitoring/QC clinical trials. I can find many related tasks in #pharmaverse and CRAN but none about checking that patients came in the right visit, the sample is correctly labeled, that all patients provided the same number of samples or similar things 😅 .
My crude solution already have found 5 errors in a study 😃
But I will need to check several studies soon. Is there anything I could use or should I provide my own solution?
Thanks! -
Help #rstats, I am looking for a package that helps monitoring/QC clinical trials. I can find many related tasks in #pharmaverse and CRAN but none about checking that patients came in the right visit, the sample is correctly labeled, that all patients provided the same number of samples or similar things 😅 .
My crude solution already have found 5 errors in a study 😃
But I will need to check several studies soon. Is there anything I could use or should I provide my own solution?
Thanks! -
Help #rstats, I am looking for a package that helps monitoring/QC clinical trials. I can find many related tasks in #pharmaverse and CRAN but none about checking that patients came in the right visit, the sample is correctly labeled, that all patients provided the same number of samples or similar things 😅 .
My crude solution already have found 5 errors in a study 😃
But I will need to check several studies soon. Is there anything I could use or should I provide my own solution?
Thanks! -
Help #rstats, I am looking for a package that helps monitoring/QC clinical trials. I can find many related tasks in #pharmaverse and CRAN but none about checking that patients came in the right visit, the sample is correctly labeled, that all patients provided the same number of samples or similar things 😅 .
My crude solution already have found 5 errors in a study 😃
But I will need to check several studies soon. Is there anything I could use or should I provide my own solution?
Thanks! -
Designit: a flexible engine to generate experiment layouts by @idavydov , Roche
rinpharma VIRTUAL EVENT
Wed Oct 25 9 AM EDT | YouTube Premier!
https://youtu.be/mvPmSQJVy8o?si=1Pc11yxglztDYYdm
#OpenSource #openscience #datascience #pharmaverse #rstats #studydesign
Via @rinpharma
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Designit: a flexible engine to generate experiment layouts by @idavydov , Roche
rinpharma VIRTUAL EVENT
Wed Oct 25 9 AM EDT | YouTube Premier!
https://youtu.be/mvPmSQJVy8o?si=1Pc11yxglztDYYdm
#OpenSource #openscience #datascience #pharmaverse #rstats #studydesign
Via @rinpharma
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Designit: a flexible engine to generate experiment layouts by @idavydov , Roche
rinpharma VIRTUAL EVENT
Wed Oct 25 9 AM EDT | YouTube Premier!
https://youtu.be/mvPmSQJVy8o?si=1Pc11yxglztDYYdm
#OpenSource #openscience #datascience #pharmaverse #rstats #studydesign
Via @rinpharma
-
Designit: a flexible engine to generate experiment layouts by @idavydov , Roche
rinpharma VIRTUAL EVENT
Wed Oct 25 9 AM EDT | YouTube Premier!
https://youtu.be/mvPmSQJVy8o?si=1Pc11yxglztDYYdm
#OpenSource #openscience #datascience #pharmaverse #rstats #studydesign
Via @rinpharma
-
Designit: a flexible engine to generate experiment layouts by @idavydov , Roche
rinpharma VIRTUAL EVENT
Wed Oct 25 9 AM EDT | YouTube Premier!
https://youtu.be/mvPmSQJVy8o?si=1Pc11yxglztDYYdm
#OpenSource #openscience #datascience #pharmaverse #rstats #studydesign
Via @rinpharma
