Good Statistical Practice (GSP)
"Statistics in Clinical Trials Unravelled" a Webinar Series by StatsCure in association with CRSF
What you can Expect
Learn survival analysis hacks to outsmart time in clinical trials.
Crack missing data challenges with powerful imputation strategies.
Explore health economics to balance cost and care in drug trials.
Decode messy trial data using mixed models like a pro.
UPCOMING : Filling the Blanks: Cracking Missing Data
Session
Content
Updates
MCAR, MAR, MNAR—puzzle pieces you can solve. Imputation’s stealing the spotlight in trials.
Takeaway: Know gaps to keep trials tight.
Platforms
R’s mice, smcfcs, mitml make imputation and stress-testing a breeze.
Takeaway: R’s your data-fix weapon.
Strategy
Mix imputation with sensitivity checks to make FDA/EMA nod. Bulletproof your trial.
Takeaway: Impute, test, win.
Latest Story
A vaccine trial beat 20% missing data with MICE, passing EMA scrutiny. Epic comeback.
Takeaway: You got this.
Analytics Challenge: Try MICE imputation in R [Git
Takeway
Understanding MCAR, MAR, and MNAR is essential to choose the right imputation method and avoid bias.
R packages like MICE, smcfcs, and mitml streamline imputa
Who should attend?
Clinicians conducting or planning trials, Postgraduate students (MD, PhD, MPH), Clinical research staff & statisticians, & Manuscript authors
Certification & Resources
Joint CRSF–StatsCure Certificate, Access to demo versions of statistical apps, Workshop recordings & quick-reference guides
Register
Register for the Good Statistical Practice & Good Data Practice (GSP–GDP) by StatsCure & CRSF
Knowledge Partners
