#cdisc ผลการค้นหา

IInaccurate SDTM mapping costs time and resources and can delay clinical trial submissions. Our best practice guide helps you avoid pitfalls with: ✅ 4-step approach ✅ 9 common scenarios ✅ Upfront SDTM strategy Download 👉 ow.ly/xPTV50X18IU #Certara #Pinnacle21 #CDISC

Join us Nov 7 for a Dataset JSON workshop (virtual, 8–11 AM EST). We’ll cover environment setup, why to use Dataset-JSON for clinical data exchange, show a walkthrough of the CDISC spec, and give you live exercises in R and Python. atorusresearch.com/about/events/r… #CDISC #DatasetJSON…

Creating reliable mapping specs shouldn’t slow submissions. See how Pinnacle 21 Enterprise Plus automates workflows, ensures CDISC compliance, and boosts consistency across studies. 🎥 Watch now: ow.ly/M4YN50XgWAf #SDTM #CDISC #Pinnacle21 #Certara

Mapping to #CDISC #SDTM? Don’t go it alone. Our new guide covers: ✅ SDTM mapping essentials ✅ 9 common scenarios ✅ Why to plan before data collection ✅ Best practices checklist Download 👉 ow.ly/xPTV50X18IU #Certara #Pinnacle21

Don't let CDISC compliance be a last-minute scramble. Our experts build a submission-ready data structure from Day 1, saving time & accelerating your path to approval. 🚀 valos.it/contacts/ #CDISC #DataStandards #Regulatory

Working with #CDISC #SDTM? Boost your skills with our new step-by-step best practice guide: ✅ SDTM mapping overview ✅ 9 common scenarios ✅ Why to plan before data collection ✅ Best practices checklist Download now 👉 ow.ly/xPTV50X18IU #Certara #Pinnacle21

Efficiency you can plan around 📐⏳ • EDC go-live: 4–6 wks • First SDTM after first randomization: 2 wks • On-demand SDTM: 24h • Key results post-unblinding: 24h Same standard we shared in April held consistently. DM for an SLA view. #Efficiency #CDISC #ClinicalTrials

Two weeks out! We’re heading to CDISC 2025 in Nashville, Oct 13–14. If you’re attending, let’s talk standards, analytics engineering, and real-world delivery. Book a meeting now: atorusresearch.com/about/events/c… #CDISC #ClinicalData #AnalyticsEngineering #LifeSciences

Non-standardized eCRFs slow data collection & submission—hurting quality & timelines. 📉 Join our webinar to learn how to: ✅ Standardize across Rave & Veeva ✅ Automate annotations ✅ Maintain version control 👉 ow.ly/pnWm50X27r1 #Certara #CDISC

New guide for #CDISC #SDTM mapping! ✅ Key steps in the mapping process ✅ 9 common scenarios ✅ Why to plan before data collection ✅ Best practice checklist Download here 👉 ow.ly/xPTV50X18IU #Certara #Pinnacle21

What does metadata-driven #SDTM programming mean? 🚀 No more repetitive specs, silos, or last-minute compliance issues. See how Pinnacle 21 Enterprise Plus automates & accelerates mapping for cleaner, faster submissions. Read 👉 ow.ly/ZlFb50WN28W #Pinnacle21 #CDISC

Speed without structure = chaos. 🧭🚀 At Valos, faster trials come from validated R/SAS macros, CDISC-first programming & tight QC — so delivery looks calm because it is controlled. 📩 Get your SLA snapshot → valos.it/contacts/ #FasterTrials #CDISC #Biostatistics

Ready to tackle inefficiencies in #SDTM mapping? Clinical trial submissions require #CDISC compliance, but spreadsheets make accuracy tough. Discover how metadata-driven programming, early SDTM planning & cross-study reuse boost quality. Watch: ow.ly/pFkJ50WN1BN #Pinnacle21

Free #rinpharma Clinical Trials Programming Material in Posit Cloud! Test out the live-code here:! posit.cloud/content/5698018 Article explaining the workflow is here: posit.co/blog/creating-… #cdisc ADaM Implementation! Next is TLFs! Code is here: github.com/rinpharma/r-fo… #rstats

📊 最新版JMP Clinical紹介セミナー 大幅に刷新され機能が向上した最新版JMP Clinicalの特徴とメリットをご紹介！ 📣 2023年4月26日（水） 14:00～16:30 ▶️ お申込みはこちら→bit.ly/3nZjfys #JMP #CDISC

Why wait until submission to validate your trial data? A solid plan lets you monitor quality throughout the trial—so you can catch issues early, avoid delays, and stay compliant. Get tips + tools in our new guide: 🔗 certara.com/guide/how-to-c… #Pinnacle21 #CDISC #Biostatistics

As a CDISC registered solutions provider and CDISC platinum member, we are excited to discuss best practices and lessons learned in developing and implementing CDISC standards. Be sure to stop by booth 7 and say hello! #ClinChoice #CDISC #JapanInterchange2023

Are you at CDISC tomorrow? Make sure you attend Silvia Faini's session on "Pivoting JSON" at 11:00! #CDISC #JSON

Non-standardized eCRFs slow data collection & submission—hurting quality & timelines. 📉 Join our webinar to learn how to: ✅ Standardize across Rave & Veeva ✅ Automate annotations ✅ Maintain version control 👉 ow.ly/pnWm50X27r1 #Certara #CDISC

Two weeks out! We’re heading to CDISC 2025 in Nashville, Oct 13–14. If you’re attending, let’s talk standards, analytics engineering, and real-world delivery. Book a meeting now: atorusresearch.com/about/events/c… #CDISC #ClinicalData #AnalyticsEngineering #LifeSciences

Whether new to CDISC or an experienced implementer, don't miss a unique opportunity to join Chris Decker at his #SCDM24 session for an overview of the #CDISC standards, and the current global regulatory mandates, and deep dive into key strategic projects and initiatives that will…

Join @WorldwideTrials team in Romania as a Senior Statistical Programmer and you will have the opportunity to continually grow your knowledge in #SAS and #CDISC across all phases and multiple therapy areas. Please reach out to Peter Lewis for more details! bit.ly/3HKhjAS

Data quality and efficiency can coexist. See our framework for determining when to apply CDISC standards in early-phase clinical studies. hubs.ly/Q02fNPf90 #CDISC #EarlyPhase #OncologyTrials

Join @WorldwideTrials #Biostatistics team in the US, LATAM, Canada or Europe, as a Principal Statistical Programmer and get this #opportunity to apply advanced knowledge of #CDISC standards and electronic data submission! Please reach out to Peter Lewis. bit.ly/3pEPR1q

Join @WorldwideTrials as a Senior Statistical Programmer in the Americas & in EMEA, and you will have the #UncommonOpportunity to grow your knowledge in #SAS and #CDISC across all phases and multiple therapy areas. Reach out to Peter Lewis for details! bit.ly/3xIEciy

Our experts Karine and Vincent were happy to attend the CDISC Europe Interchange 2023. It was a pleasure to share expertise, best practices, and lessons learned in developing and implementing #CDISC standards.

What does metadata-driven #SDTM programming mean? 🚀 No more repetitive specs, silos, or last-minute compliance issues. See how Pinnacle 21 Enterprise Plus automates & accelerates mapping for cleaner, faster submissions. Read 👉 ow.ly/ZlFb50WN28W #Pinnacle21 #CDISC

We're thrilled to announce that yesterday our Senior Staff Engineer, Amiel Kollek, won "Best @CDISC Presentation at the 2025 CDISC + TMF Europe Interchange"! 🏅 #CDISC #FDA #clinicaldatamanagement #clinicalresearch #AI #clinicaltrials #cro

Wrapping up a great week at the #IDDI office in Raleigh dedicated to mastering #CDISC standards! Our attendees refreshed on CDASH, SDTM, ADaM, and Define-XML and are equipped with essential skills to drive clinical data excellence! #CDISC #biometricsCRO #clinicaldatamanagement

Thrilled to be attending the 2024 CDISC + TMF Europe Interchange again! If you're there, you won't want to miss talks from Ece Kavalci, Oskar Wroz, and Zaid Al-Jubouri on data-driven approaches for optimizing clinical trial processes. 💻 #cdisc #ai #clinicaltrials

Join @WorldwideTrials as a Senior Statistical Programmer in EMEA, and you will have the opportunity to grow your knowledge in #SAS and #CDISC across all phases and multiple therapy areas. Please reach out to Peter Lewis for more details! bit.ly/3QKJVPh

#CDISC EU 2024 is a wrap! Angelo Tinazzi shares some of the highlights and key takeaways. Click to learn more about this year’s sessions on new #FDA guidance, ADaM implementation approach, and more! bit.ly/44GyP3k

Ten years ago, the #FDA issued the first Technical Conformance Guide. And after 30 versions since, it can be challenging to stay up to date! Angelo Tinazzi simplifies by highlighting the most substantial changes and new requirements. bit.ly/48rJrn7 #CDISC #data