Results 1 to 10 of about 16 (16)

Estimating causal effects with hidden confounding using instrumental variables and environments. [PDF]

Electron J Stat, 2023
Long JP, Zhu H, Do KA, Ha MJ.
europepmc   +1 more source

Doubly robust estimators for generalizing treatment effects on survival outcomes from randomized controlled trials to a target population. [PDF]

J Causal Inference, 2022
Lee D, Yang S, Wang X.
europepmc   +1 more source

Causal mediation analysis: From simple to more robust strategies for estimation of marginal natural (in)direct effects. [PDF]

Stat Surv, 2023
Nguyen TQ, Ogburn EL, Schmid I, Sarker EB, Greifer N, Koning IM, Stuart EA.   +6 more
europepmc   +1 more source

Clarifying causal mediation analysis: Effect identification via three assumptions and five potential outcomes. [PDF]

J Causal Inference, 2022
Nguyen TQ, Schmid I, Ogburn EL, Stuart EA.   +3 more
europepmc   +1 more source

Evaluating sensitivity to classification uncertainty in latent subgroup effect analyses. [PDF]

BMC Med Res Methodol, 2022
Loh WW, Kim JS.
europepmc   +1 more source

Bridging binarization: causal inference with dichotomized continuous exposures. [PDF]

J Causal Inference
Lee K, Hubbard A, Schuler A.
europepmc   +1 more source

Role of placebo samples in observational studies. [PDF]

J Causal Inference
Ye T, He Q, Chen S, Zhang B.
europepmc   +1 more source

A comparison of causal inference methods for evaluating multiple treatment groups. [PDF]

J Nonparametr Stat
Chen S, Wu H, Zhao H.
europepmc   +1 more source

Comparison of open-source software for producing directed acyclic graphs. [PDF]

J Causal Inference
Pitts AJ, Fowler CR.
europepmc   +1 more source

Estimating average causal effects with incomplete exposure and confounders. [PDF]

J Causal Inference
Wen L, McGee G.
europepmc   +1 more source