by Usha Govindarajulu | Jun 17, 2026 | Biostatistics, Blog, Epidemiology, Usha Govindarajulu
June 17, 2026 In this paper, the authors have described a simple strategy for empirically assessing the plausibility of conditional unconfoundedness (i.e., whether the candidate adjustment set of covariates suffices for confounding adjustment), which does not require...
by Usha Govindarajulu | May 20, 2026 | Biostatistics, Blog, Usha Govindarajulu
May 20, 2026 Unmeasured confounding has been a long-standing methodological challenge for causal inference and these confounding mechanisms can violate the ignorability assumption that is a bedrock of causal inference. As they say, the profound implications of this...
