The ISPOR BOOK:
Reliability and Validity of Data Sources for Disease and Health Management:

Section 5: Statistical Adjustments/Approaches
Section editor:  Joel Hay PhD

Topics & Assigned Authors

1. Primary data types and how they are analyzed statistically
• Demonstration projects (Pedro Plans Rubio)
• Randomized Controlled Trials (Ashish Parekh)
• Natural Experiments (Hans Petersen)
• Prospective Designs (Pedro Plans Rubio)
• Retrospective Designs (Ashish Parekh)
  
  
2. Statistical methods for Randomized Controlled Trials
• Sample inclusion and exclusion (Ashish Parekh)
• Discrete outcomes (Joanna Campbell)
• Continuous outcomes (Pedro Plans Rubio)
• Time to event/survival models (Chenghui Li & Qayyim Said)
• Missing data issues (Roger Luo)
• Hypothesis testing and confidence intervals (Nalin Payakachat & Pedro Plans Rubio)
  
  
3. Statistical methods for Retrospective Designs
• Sample selection bias issues (Joanna Campbell)
• Propensity score methods (Hans Petersen)
• Instrumental variables methods (Joanna Campbell & Ebere Onukwugha)
• Heckman selection bias methods (Ebere Onukwugha)
• Discrete outcomes (Joanna Campbell)
• Continuous outcomes (Pedro Plans Rubio)
• Time to event/survival models (Chenghui Li & Qayyim Said)
• Controlling for confounders (Hans Petersen)
• Multiple dependent variables (Roger Luo)
• Missing data issues (Roger Luo)
• Hypothesis testing and confidence intervals (Nalin Payakachat & Pedro Plans Rubio)
• Bootstrapping methods (Nalin Payakachat)
• Model validation (Nalin Payakachat)
• Nonparametric methods (Joel Hay)