4 citations · 9 across the 24 of their papers we have counts for
6 papers · 1 filter
Partitioning Time in Target Trial Emulation
Harold Tankpinou Zoumenou, Simon Ferreira, Charles Assaad +6
In target trial emulation, the treatment strategies that patients follow are inferred from the treatments they actually receive in routine care. However, in most settings, the outc…
Missing data and cluster graphs: cluster-level missingness vs variable-level missingness
Willow Scott, Eugenio Valdano, Charles Assaad
Missing data is pervasive in many scientific domains such as public health, environmental science, and the social sciences. Recoverability from missing data is typically studied us…
Time Partitioning in Target Trial Emulation
Harold Tankpinou Zoumenou, Simon Ferreira, Charles Assaad +3
In target trial emulation, time partitioning enables researchers to handle time-varying confounders and immortal time bias with appropriate methods. Based on two clinical scenarios…
On Efficient Adjustment for Micro Causal Effects in Summary Causal Graphs
Isabela Belciug, Simon Ferreira, Charles K. Assaad
Observational studies in fields such as epidemiology often rely on covariate adjustment to estimate causal effects. Classical graphical criteria, like the back-door criterion and t…
Identifying Macro Conditional Independencies and Macro Total Effects in Summary Causal Graphs with Latent Confounding
Simon Ferreira, Charles K. Assaad
Understanding causal relations in dynamic systems is essential in epidemiology. While causal inference methods have been extensively studied, they often rely on fully specified cau…
Towards identifiability of micro total effects in summary causal graphs with latent confounding: extension of the front-door criterion
Charles K. Assaad
Conducting experiments to estimate total effects can be challenging due to cost, ethical concerns, or practical limitations. As an alternative, researchers often rely on causal gra…