RKHS-based covariate balancing for survival causal effect estimation
Survival causal effect estimation based on right-censored data is of key interest in both
survival analysis and causal inference. Propensity score weighting is one of the most …
survival analysis and causal inference. Propensity score weighting is one of the most …
A cautionary note on using propensity score calibration to control for unmeasured confounding bias when the surrogacy assumption is absent
F Wan - American journal of epidemiology, 2024 - academic.oup.com
Conventional propensity score methods encounter challenges when unmeasured
confounding is present, as it becomes impossible to accurately estimate the gold-standard …
confounding is present, as it becomes impossible to accurately estimate the gold-standard …
Propensity score matching for estimating a marginal hazard ratio
Propensity score matching is commonly used to draw causal inference from observational
survival data. However, its asymptotic properties have yet to be established, and variance …
survival data. However, its asymptotic properties have yet to be established, and variance …