Technical Reports : Probability Models in RCTs

 
 

The importance of the normality assumption in large public health data sets.

  1. Summary:  A demonstration of the robustness of the distribution-free inference on the mean. 

  2. Ref: Lumley T, Diehr P, Emerson S, Chen L, Annual Review Public Health 23: 151-69 (2002).



Some observations on the Wilcoxon rank sum test.

  1. Summary: A discussion of the properties of the Wilcoxon rank sum test, particularly noting popular misconceptions about its scientific interpretation and its efficiency relative to the t test.

  2. Ref: Emerson SS, UW Biostatistics Working Paper Series, Working Paper 380, BEPress (2011)
         

Adjusting for Baseline in Randomized Clinical Trials.

  1. Summary: A discussion of the theory that guides the best approaches for analyzing RCT outcomes when a baseline measurement of that same variable is available.


  2.      

 


Technical Report Topics:


  1. •Probability models

  2. •General RCT methods

  3. •Noninferiority trials

  4. •Stopping rules

  5. •Adaptive methods

  6. •Implementation

  7. •Frequentist inference

  8. •Bayesian methods

  9. •Survival outcomes

  10. •Longitudinal outcomes

  11. •Medical diagnosis

  12. •Missing data

  13. •Software