Assignment Control Plots for Causal Inference Study Design - Rocky Aikens

Assignment Control Plots for Causal Inference Study Design - Rocky Aikens

Stanford MedAI via YouTube Direct link

Methods hurdle: How do you fit your prognostic scores?

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7 of 16

Methods hurdle: How do you fit your prognostic scores?

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Assignment Control Plots for Causal Inference Study Design - Rocky Aikens

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  1. 1 Intro
  2. 2 I am a collaborative biostatistician
  3. 3 Example: Patient-physician concordance and heart attack
  4. 4 A confounder influences the treatment assignment and the outcome
  5. 5 Decomposing baseline variation
  6. 6 Maybe a covariate space we're really interested in is the subspace of covariates important to treatment and outcome
  7. 7 Methods hurdle: How do you fit your prognostic scores?
  8. 8 Application: Diagnostic
  9. 9 Example: Patient-Surgeon concordance and CABG
  10. 10 Application: Matching
  11. 11 Exploration: Unmeasured Confounding Variation
  12. 12 Exploration: Breaking down treatment assignment
  13. 13 Randomization Assignment-Control Plots
  14. 14 Characterizing Uncertainty in Practice
  15. 15 Other dimensions to consider
  16. 16 Key references

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