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Stat4Onc_2023

Location of Stat4Onc_2023 short course slides and materials.

Files:

  • Bayesian CTs in Oncology Part 1-Intro.pptx: introduces some high-level concepts of Bayesian analyses with an example of implementing a logistic regression for a binary outcome using the brms R package
  • session1_rcode.R: the R code accompanying the part 1 example and figures
  • Bayesian CTs in Oncology Part 2-Borrowing.pdf: introduces the concepts and methods for sharing information between data sources (e.g., trial arms, historic trials, etc.)
  • Bayesian CTs in Oncology Part 3-Stat Consider.pptx: discusses statistical considerations for Bayesian master protocol designs with examples of properties and decisions for basket trials
  • Bayesian CTs in Oncology Part 4-HybridControls.pdf: presents considerations for using hybrid controls in trials

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Location of Stat4Onc_2023 short course slides and materials

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