Methods in Action: Causal inference in epidemiology; theory and practice

Methods in Action resources

The slides related to this Methods in Action class are available below:

• Dr Daniel Tompsett | Applying G-estimation in R via a propensity score regression adjustment method

  Dr Daniel Tompsett | Applying G-estimation in R via a propensity score regression adjustment method

• Dr Michalis Katsoulis | Weight change and the incidence of cardiovascular diseases in normal weight, overweight and obese adults, using electronic health records 

  Dr Michalis Katsoulis | Weight change and the incidence of cardiovascular diseases in normal weight, overweight and obese adults, using electronic health records 

• Karla Diaz Ordaz | Machine learning in comparative effectiveness using observational data: new tools for causal inference

  Karla Diaz Ordaz | Machine learning in comparative effectiveness using observational data: new tools for causal inference

Academic profiles

• Dr Daniel Tompsett
• Dr Michalis Katsoulis 
• Karla Diaz Ordaz 

Organised by UCL's Network of Applied Statistician in Health, Methods in Action is a 2-hour class where statisticians present a statistical methodology in detail.