Training material

Author
Affiliation

Godwin Yung

Statistical Methodology, PDD, Roche SSF

Published

Invalid Date

DDCP

  • 2021 Roll-out
    • DDCP computations for randomized trials
    • Prior choice
    • Update after no stopping at interim
    • Predictive probability computations for single-arm trials (Unicycle)
  • Statistics Boost Basic 9: Trial success probabilities – PTS and DDCP (recording, slides)
    • What is PTS?
    • What is DDCP?
    • How does DDCP behave?
  • Statistics Boost Basic 21: Trial success probabilities – From power to DDCP (recording, slides)
    • What does it mean to power a study at 80%?
    • If a study is powered at 80%, what are the chances of it turning out positive?
    • How can we increase Ph3 PTS?
  • Statistics Boost Advanced 8: Data driven conditional probability – what and how? (recording, slides)
    • What exactly is DDCP?
    • How to specify the prior distribution? (including how to backengineer a prior from a reference assumption)
    • DDCP and PTS at Roche

More details on the methodology and the Gazyva case study is available in the slidedeck that Kaspar presented at the Bayes Pharma conference 2019 in Lyon.

Providentia v2.0 for clinical PTS (cPTS)