Results 41 to 50 of about 137 (85)

Energy balancing of covariate distributions

Journal of Causal Inference
Bias in causal comparisons has a correspondence with distributional imbalance of covariates between treatment groups. Weighting strategies such as inverse propensity score weighting attempt to mitigate bias by either modeling the treatment assignment ...
Huling Jared D., Mak Simon
doaj   +1 more source

Bias formulas for violations of proximal identification assumptions in a linear structural equation model

Journal of Causal Inference
Causal inference from observational data often rests on the unverifiable assumption of no unmeasured confounding. Recently, Tchetgen Tchetgen and colleagues have introduced proximal inference to leverage negative control outcomes and exposures as proxies
Cobzaru Raluca, Welsch Roy, Finkelstein Stan, Ng Kenney, Shahn Zach   +4 more
doaj   +1 more source

Multivariate zero-inflated causal model for regional mobility restriction effects on consumer spending

Journal of Causal Inference
The COVID-19 pandemic presents challenges to both public health and the economy. Our objective is to examine how household expenditure, a significant component of private demand, reacts to changes in mobility. This investigation is crucial for developing
Hong Taekwon, Lu Wenbin, Yang Shu, Ghosh Pulak   +3 more
doaj   +1 more source

A clarification on the links between potential outcomes and do-interventions

Journal of Causal Inference
Most of the scientific literature on causal modeling considers the structural framework of Pearl and the potential-outcome framework of Rubin to be formally equivalent and therefore interchangeably uses do-interventions and the potential-outcome ...
De Lara Lucas
doaj   +1 more source

Current philosophical perspectives on drug approval in the real world

Journal of Causal Inference
The evidence-based medicine approach to causal medical inference is the dominant account among medical methodologists. Competing approaches originating in the philosophy of medicine seek to challenge this account.
Landes Jürgen, Auker-Howlett Daniel J.
doaj   +1 more source

On interpreting the causal effects of race

Journal of Causal Inference
Some approaches to the quantitative studies of racial health disparities, discrimination, and algorithmic fairness have involved, controversially, estimating “causal effects of race.” We approach the debate over “causal effects of race” from a social ...
Malinsky Daniel, Bright Liam Kofi
doaj   +1 more source

Distinguishability of causal structures under latent confounding and selection

Journal of Causal Inference
Statistical relationships in observed data can arise for several different reasons: the observed variables may be causally related, they may share a latent common cause, or there may be selection bias.
Carey Ryan, Maciel Ansanelli Marina, Wolfe Elie, Evans Robin J.   +3 more
doaj   +1 more source

Foundations of causal discovery on groups of variables

Journal of Causal Inference
Discovering causal relationships from observational data is a challenging task that relies on assumptions connecting statistical quantities to graphical or algebraic causal models.
Wahl Jonas, Ninad Urmi, Runge Jakob
doaj   +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

Combining observational and experimental data for causal inference considering data privacy

Journal of Causal Inference
Combining observational and experimental data for causal inference can improve treatment effect estimation. However, many observational datasets cannot be released due to data privacy considerations, so one researcher may not have access to both ...
Mann Charlotte Z., Sales Adam C., Gagnon-Bartsch Johann A.   +2 more
doaj   +1 more source