Outcome-wide longitudinal designs for causal inference: a new template for empirical studies

@article{VanderWeele2018OutcomewideLD,
  title={Outcome-wide longitudinal designs for causal inference: a new template for empirical studies},
  author={T. VanderWeele and Maya B. Mathur and Y. Chen},
  journal={arXiv: Methodology},
  year={2018}
}
In this paper we propose a new template for empirical studies intended to assess causal effects: the outcome-wide longitudinal design. The approach is an extension of what is often done to assess the causal effects of a treatment or exposure using confounding control, but now, over numerous outcomes. We discuss the temporal and confounding control principles for such outcome-wide studies, metrics to evaluate robustness or sensitivity to potential unmeasured confounding for each outcome, and… Expand
A New Template for Empirical Studies: From positivity to Positivity
The Future of Outcome-Wide Studies
Correcting Misinterpretations of the E-Value
...
1
2
3
...

References

SHOWING 1-10 OF 194 REFERENCES
Sensitivity Analysis for Unmeasured Confounding in Meta-Analyses
For objective causal inference, design trumps analysis
Estimating scaled treatment effects with multiple outcomes
Causal inference and longitudinal data: a case study of religion and mental health
Causal Inference for Statistics, Social, and Biomedical Sciences: An Introduction
...
1
2
3
4
5
...