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 : Untangling the Mess: Mixed Models
Session
Content
Updates
MMRM’s kicking LOCF’s butt for repeated measures. Cluster trials are blowing up.
Takeaway: Mixed models decode data.
Platforms
R’s lme4, nlme, brms handle fixed effects, random effects, clustering.
Takeaway: R makes messy data easy.
Strategy
Lean into MMRM, nail clustering for clear insights from chaotic designs.
Takeaway: Right model, right insights.
Latest Story
A mental health trial used lme4 to dig up treatment effects in clusters.
Takeaway: Mixed models turn noise to signal.
Analytics Challenge: Fit a mixed model in
Key Takeaway
Mixed Models for Repeated Measures (MMRM) outperform traditional methods like LOCF by handling missing and correlated data more accurately. Tools like R’s lme4,
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
