Background Joint analyses across multiple health datasets can increase statistical power and improve the generalisability of ...
Causal inference in observational settings seeks to estimate the effect of exposures, treatments or interventions on outcomes in the absence of random assignment. Unlike experimental designs, ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results