Causal Inference in Oncology Comparative Effectiveness Research Using Observational Data: Are Instrumental Variables Underutilized? The following represents disclosure information provided by authors ...
Setodji CM, McCaffrey DF, Burgette LF, Almirall D, Griffin BA. The right tool for the job: Choosing between covariate balancing and generalized boosted model propensity scores. Epidemiology. 2017.
Our foray into causal analysis is not yet complete. Until we define the methods of causal inference, we can't get to the deeper insights that causal analysis can provide. This article details many of ...
Company will showcase scientific leadership with three key presentations and highlights scalable, data-agnostic research solutions at ISPE Annual Conference 2025. With a strong emphasis on causal ...
We consider the estimation of joint causal effects from observational data. In particular, we propose new methods to estimate the effect of multiple simultaneous interventions (e.g., multiple gene ...
A Perspective published in Volume 3 of the journal Psychoradiology, researchers from Shanghai Jiao Tong University confronted these challenges and advocates for more clarity and transparency in causal ...
This course is available on the MSc in Applied Social Data Science, MSc in Behavioural Science, MSc in Human Geography and Urban Studies (Research), MSc in International Social and Public Policy ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback