The alarming problems of confounding equivalence using logistic regression models in the perspective of causal diagrams.
Yuanyuan YuHongkai LiXiaoru SunPing SuTingting WangYi LiuZhongshang YuanYanxun LiuFuzhong XuePublished in: BMC medical research methodology (2017)
All adjustment strategies through logistic regression were biased for causal effect estimation, while IPW-based-MSM could always obtain unbiased estimation when the adjusted set satisfied G-admissibility. Thus, IPW-based-MSM was recommended to adjust for confounders set.