Advanced Statistical Analysis Techniques for Data Interpretation

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Explore a variety of statistical analysis techniques including Kaplan-Meier, regression effects, effective sample size, basic probabilities, and more for in-depth data diagnostics and interpretation. Enhance your understanding of large sample theory, confidence bands, change point models, and breast cancer study examples.

  • Statistical Analysis
  • Data Interpretation
  • Kaplan-Meier
  • Regression Effects
  • Large Sample Theory

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Presentation Transcript


  1. Kaplan Meier and diagnostics

  2. Regression effect process

  3. Effective sample size

  4. Basic probabilities

  5. expectations and variances

  6. regression effect process

  7. regression effect process

  8. behavior of regression effect process

  9. large sample theory

  10. large sample theory

  11. regression effect process under H1

  12. Large sample result

  13. Brownian bridge

  14. example in breast cancer study

  15. confidence bands

  16. confidence bands under PH

  17. change point model

  18. changepoint estimation

  19. Freireich data

  20. NPH Curie data

  21. mild NPH Curie data

  22. Curie breast cancer data

  23. Curie receptor status

  24. Receptor cutpoint model

  25. weighted log-rank tests

  26. Log-rank and DOT

  27. area under curve test

  28. integrated log-rank

  29. area under curve and log-rank

  30. covariance of AUC and DOT

  31. AOC - immunotherapy

  32. NPH concave

  33. % non-responders - convex effects

  34. MRC clinical trial lung p-value = 0.09 log-rank p-value = 0.005 AUC test

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