Results 51 to 60 of about 137 (85)

Valid causal inference with unobserved confounding in high-dimensional settings

Journal of Causal Inference
Various methods have recently been proposed to estimate causal effects with confidence intervals that are uniformly valid over a set of data-generating processes when high-dimensional nuisance models are estimated by post-model-selection or machine ...
Moosavi Niloofar, Gorbach Tetiana, de Luna Xavier   +2 more
doaj   +1 more source

Minimax rates and adaptivity in combining experimental and observational data

Journal of Causal Inference
Randomized controlled trials (RCTs) are the gold standard for evaluating the causal effect of a treatment; however, they often have limited sample sizes and sometimes poor generalizability.
Chen Shuxiao, Li Sai, Zhang Bo, Ye Ting
doaj   +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

Nonparametric estimation of conditional incremental effects

Journal of Causal Inference
Conditional effect estimation has great scientific and policy importance because interventions may impact subjects differently depending on their characteristics.
McClean Alec, Branson Zach, Kennedy Edward H.   +2 more
doaj   +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

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

Bounding causal effects with an unknown mixture of informative and non-informative missingness. [PDF]

J Causal Inference
Rubinstein M, Agniel D, Han L, Horvitz-Lennon M, Normand SL.   +4 more
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

MMS sensitivity of all amino acid-requiring mutants in aspergillus and its suppression by mutations in a single gene. [PDF]

Genetics, 1987
Käfer E.
europepmc   +1 more source