Armat Analytics

What an incredible week at #PHUSE EU Connect 2024! Our team had engaging discussions, attended impactful sessions on the latest advancements in clinical data science, and were excited to share our work through our own presentation. #PHUSEEUConnect #ArmatAnalytics #ClinicalTrials #ClinicalResearch #Collaboration

📢 Our very own Alexander Mkrtchyan from Armat Analytics will be presenting at PHUSE EU Connect 2024! 🗓️ Session: DV07: Data Traceability Map with R Shiny 📅 Date: November 12, 2024 🕔 Time: 17:00 - 17:30 Alexander will cover solutions for tracking data flow from raw data to the reporting unit, leveraging R Shiny for transparency and efficiency. If you’re attending, be sure to check out his session! #PHUSE2024 #DataTraceability #RShiny #ArmatAnalytics

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We are thrilled to announce the launch of 𝗞𝗲𝘆𝗖𝗼𝗺𝗯𝗶𝗻𝗲, a 𝗳𝗿𝗲𝗲-𝘁𝗼-𝗱𝗼𝘄𝗻𝗹𝗼𝗮𝗱 tool created by our talented team to solve one of the most frustrating challenges in the Pharmaceutical Industry—generating 𝗖𝗼𝗺𝗯𝗶𝗻𝗲𝗱 𝗣𝗗𝗙 files from 𝗧𝗟𝗙 sources for 𝗙𝗗𝗔 𝘀𝘂𝗯𝗺𝗶𝘀𝘀𝗶𝗼𝗻𝘀. With KeyCombine, you can: ✔ Easily create 𝗙𝗗𝗔 𝘀𝘂𝗯𝗺𝗶𝘀𝘀𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆, 𝗨𝗦-𝗲𝗖𝗧𝗗 𝘃𝟰 𝗰𝗼𝗺𝗽𝗹𝗶𝗮𝗻𝘁 PDFs with drag-and-drop simplicity. ✔ Enjoy a 𝘂𝘀𝗲𝗿-𝗳𝗿𝗶𝗲𝗻𝗱𝗹𝘆 𝗶𝗻𝘁𝗲𝗿𝗳𝗮𝗰𝗲 designed for efficiency and ease of use. ✔ Automate your workflow with advanced 𝗖𝗟𝗜 𝗳𝘂𝗻𝗰𝘁𝗶𝗼𝗻𝗮𝗹𝗶𝘁𝘆. ✔ Eliminate the need for messy scripts and non-specialized software. Experience the difference and streamline your submission process with a tool built for precision and compliance. Try KeyCombine today! https://lnkd.in/egrWa2Kw #KeyCombine #ArmatAnalytics #Biotechnology #Pharma #CRO #FDAcompliance #CombinedPDF

We are thrilled to announce the launch of 𝗞𝗲𝘆𝗖𝗼𝗺𝗯𝗶𝗻𝗲, a 𝗳𝗿𝗲𝗲-𝘁𝗼-𝗱𝗼𝘄𝗻𝗹𝗼𝗮𝗱 tool created by our talented team to solve one of the most frustrating challenges in the Pharmaceutical Industry—generating 𝗖𝗼𝗺𝗯𝗶𝗻𝗲𝗱 𝗣𝗗𝗙 files from 𝗧𝗟𝗙 sources for 𝗙𝗗𝗔 𝘀𝘂𝗯𝗺𝗶𝘀𝘀𝗶𝗼𝗻𝘀. With KeyCombine, you can: ✔ Easily create 𝗙𝗗𝗔 𝘀𝘂𝗯𝗺𝗶𝘀𝘀𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆, 𝗨𝗦-𝗲𝗖𝗧𝗗 𝘃𝟰 𝗰𝗼𝗺𝗽𝗹𝗶𝗮𝗻𝘁 PDFs with drag-and-drop simplicity. ✔ Enjoy a 𝘂𝘀𝗲𝗿-𝗳𝗿𝗶𝗲𝗻𝗱𝗹𝘆 𝗶𝗻𝘁𝗲𝗿𝗳𝗮𝗰𝗲 designed for efficiency and ease of use. ✔ Automate your workflow with advanced 𝗖𝗟𝗜 𝗳𝘂𝗻𝗰𝘁𝗶𝗼𝗻𝗮𝗹𝗶𝘁𝘆. ✔ Eliminate the need for messy scripts and non-specialized software. Experience the difference and streamline your submission process with a tool built for precision and compliance. Try KeyCombine today! https://lnkd.in/egrWa2Kw #KeyCombine #ArmatAnalytics #Biotechnology #Pharma #CRO #FDAcompliance #CombinedPDF

Article 4, Box Plot is now available in ▪Medium. Make sure you check out the dynamic plots in our ▪ShinyApp, and visit the codes on ▪ GitHub!!!!!!! This article is the fourth in the series of articles on Medium discussing Most Common Data Visualization Techniques in Clinical Trials implemented with SAS and R. This Article discusses Box Plot and goes into the depths of generating plots using predefined TEMPLATES and Proc Sgrender. You can find the Publication and the Article under the following links: ✔ Publication: https://lnkd.in/eM3N9ayY ✔ Article: https://lnkd.in/eKrsBtWW All the codes created in the article, as well as the Shiny Application hosting the R generated dynamic plots are accessible through the following links: ✔ Github SAS: https://lnkd.in/eeWG6pV3 ✔ Github R: https://lnkd.in/exB7vE_C ✔ Github Data: https://lnkd.in/eRTcZE6s ✔ Shiny App: https://lnkd.in/eCRWfCfv #Biometrics, #Biotechnology, #datavisualization, #sasprogramming, #rprogramming, #clinicaltrials, #rshiny

Article 3, Paneled Waterfall Plot is now available!!! #biometrics #biotechnology #sasprogramming #sas #r #rshiny #datavisualization #rprogramming #clinicaltrials

Article 3, Paneled Waterfall Plot is now available!!! #biometrics #biotechnology #sasprogramming #sas #r #rshiny #datavisualization #rprogramming #clinicaltrials

Article 3, Paneled Waterfall Plot is now available in ▪Medium. Make sure you check out the dynamic plots in our ▪ShinyApp, and visit the codes on ▪ GitHub!!!!!!! This article is the third in the series of articles on Medium discussing Most Common Data Visualization Techniques in Clinical Trials implemented with SAS and R. You can find the Publication and the Article under the following links: ✔ Publication: https://lnkd.in/eM3N9ayY ✔ Article: https://lnkd.in/eptfhART All the codes created in the article, as well as the Shiny Application hosting the R generated dynamic plots are accessible through the following links: ✔ Github SAS: https://lnkd.in/eeWG6pV3 ✔ Github R: https://lnkd.in/exB7vE_C ✔ Github Data: https://lnkd.in/eRTcZE6s ✔ Shiny App: https://lnkd.in/eCRWfCfv

Article 2, Paneled Scatter Plot is now available in ▪Medium. Make sure you check out the dynamic plots in our ▪ShinyApp, and visit the codes on ▪ GitHub!!!!!!! This article is the second in the series of articles on Medium discussing Most Common Data Visualization Techniques in Clinical Trials implemented with SAS and R. This Article discusses Paneled Scatter Plot, a common way to explore the relationship between 2 parameters of interest in groups. You can find the Publication and the Article under the following links: ✔ Publication: https://lnkd.in/eM3N9ayY ✔ Article: https://lnkd.in/eV2ZcZH3 All the codes created in the article, as well as the Shiny Application hosting the R generated dynamic plots are accessible through the following links: ✔ Github SAS: https://lnkd.in/eeWG6pV3 ✔ Github R: https://lnkd.in/exB7vE_C ✔ Github Data: https://lnkd.in/eRTcZE6s ✔ Shiny App: https://lnkd.in/eCRWfCfv #Biometrics, #Biotechnology, #datavisualization, #sasprogramming, #rprogramming, #clinicaltrials, #rshiny