Mauro Gerber of HUBER+SUHNER on why ‘smart factory’ and ‘digitization’ mean little without the democratization of statistical thinking
An analytics advocate interview
An analytics advocate interview
An analytics advocate interview
An analytics advocate interview
An analytics advocate interview
The new version of JMP Pro encompasses nearly all functionality formerly available in JMP Genomics.
Get a better look at the underlying "plumbing" layer that powers the porcelain layer.
The Distribution platform can be used to explore the distribution of a single variable. This is a rich platform that allows many different visuals, statistics, and tests on variables. This blog post details the new features to the Distribution platform in version 16 of JMP.
Is there anything more magical than a beautifully decorated Christmas tree?
Learn what the ! (NOT) operator is and see examples of how you can make use of it in your JSL code.
Do you do any of the following Script JSL as well as other languagesUse git or other version control software for you JSL scriptsAlready use VSCode for other thingsJust want to code JSL in something that feels more like an IDE Then I've got some good news! YAY!
Ever been confused when trying to add numeric values and ended up with a missing value as the result? Maybe you discovered the Sum() function to get around the problem but never really understood why it worked. In this blog post, I explain the Add() function, plus (+) operator, and the Sum() function to help you get the results you need from your script or column formula.
The first Mastering JMP Developer Tutorial is Oct. 21. Ryan Lekivetz talks about using covariates when designing experiments. Ryan makes learning about designing experiments fun, and recently did a small experiment with his masked but recognizable co-workers in North Carolina.
Starting Nov. 4, Developer Clay Barker will present three Developer Tutorials.
Advocating for analytics at Omya Craig DePorter of Omya
In our recent paper, CDISC Enables Efficient Streamlining of Clinical Trial Safety Evaluation1,2, we followed FDA NDA (New Drug Application) or CR (Clinical Reviews) templates to show how drug safety can be evaluated. My previous blogs demonstrated how to capture SAEs using Adverse Events Narrative3, and Discontinuations Due4 to AEs and TEAE5 with Adverse Events Distribution. There is a final step...
In our recent paper, CDISC Enables Efficient Streamlining of Clinical Trial Safety Evaluation1,2, we followed FDA NDA (New Drug Application) or CR (Clinical Reviews) templates to show how drug safety can be evaluated. My previous blogs demonstrated how to evaluate SAEs by Adverse Events Narrative3 and Discontinuations Due to AEs4 by Adverse Events Distribution. We'll now look at the third step for...
In our recent paper, CDISC Enables Efficient Streamlining of Clinical Trial Safety Evaluation1,2, we followed FDA NDA (New Drug Application) or CR (Clinical Reviews) templates to show how drug safety can be evaluated. My blog, Safety Result I, explained how to use the Adverse Events Narrative to summarize the individual information3 for those subjects that had a SAE in CR for Latuda4. The below fi...
In our recent paper, CDISC Enables Efficient Streamlining of Clinical Trial Safety Evaluation1,2, we followed FDA NDA (New Drug Application) or CR (Clinical Reviews) templates to show how drug safety is evaluated by reviewers at the U.S. FDA. The typical template, shown below, is from an NDA for Mydayis3. The major content in the safety review can be found in the Safety Results section. Assessin...
Before we can understand clinical trial data in detail, we need to understand the protocol or trial design to get a big picture of the clinical trial data. This data can be described in three ways: trial, event, and treatment emergent adverse events (TEAE) summaries, as explained in our recent paper CDISC Enables Efficient Streamlining of Clinical Trial Safety Evaluation1,2.
Trial summaries can be...
The FDA announced the release of the FDA Medical Query (FMQ) and Algorithmic FDA Medical Queries (AFMQ) at the Duke Margolis-FDA Workshop: Advancing Premarket Safety Analytics1 on Sept 14, 2022. The description of FMQ and AFMQ can be found in this FDA presentation: Advancing Premarket Safety Analytics2. Traditional medical queries (Standard Medical Queries (SMQ))3 focused primarily on MedDRA prefe...