Software Tutorials : Probability Models in RCTs

 
 

Commonly used probability models in RCT

  1. Summary:  An overview of the specification of commonly used probability models (mean, geometric mean, proportions, hazards) when designing  RCT with seqDesign(). 


Mean probability model

  1. Summary:  A more detailed description of methods implemented for distribution-free inference on the mean. 


Geometric mean probability model

  1. Summary:  A more detailed description of methods implemented for distribution-free inference on the geometric mean. 


Proportions probability model

  1. Summary:  A more detailed description of methods implemented for inference on event probabilities under the binomial distribution. 


Hazard probability model

  1. Summary:  A more detailed description of methods implemented for distribution-free inference on hazards using time to event random variables subject to right censoring. 

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Software Tutorial Topics:


  1. •Getting Started

  2. •Probability models

  3. •Specifying Hypotheses

  4. •Nonbinding Futility

  5. •Computing Sample Size

  6. •Time to Event Accrual

  7. •Sequential Sampling

  8. •Boundary Scales

  9. •Stochastic Curtailment

  10. •Unified Family

  11. •Error Spending

  12. •Constrained Boundaries

  13. •Operating Characteristics

  14. •Simulating RCTs

  15. •Adaptive methods

  16. •Inference

  17. •Bayesian Evaluation

  18. •Monitoring RCT

  19. •Adaptive Designs

  20. •Advanced Topics