32 citations
2 papers
stat.ME2022★ 2 cited
Revisiting the propensity score's central role: Towards bridging balance and efficiency in the era of causal machine learning
Nima S. Hejazi, Mark J. van der Laan
About forty years ago, in a now--seminal contribution, Rosenbaum & Rubin (1983) introduced a critical characterization of the propensity score as a central quantity for drawing cau…
math.ST2007★ 32 cited
Causal inference in longitudinal studies with history-restricted marginal structural models
Romain Neugebauer, Mark J. van der Laan, Marshall M. Joffe +1
A new class of Marginal Structural Models (MSMs), History-Restricted MSMs (HRMSMs), was recently introduced for longitudinal data for the purpose of defining causal parameters whic…