Results 51 to 60 of about 1,368,972 (211)
On Partial Identification of the Pure Direct Effect [PDF]
In causal mediation analysis, nonparametric identification of the pure (natural) direct effect typically relies on, in addition to no unobserved pre-exposure confounding, fundamental assumptions of (i) so-called "cross-world-counterfactuals" independence
Kanki, Phyllis +3 more
core +3 more sources
Causal Diagrams: Pitfalls and Tips
Graphical models are useful tools in causal inference, and causal directed acyclic graphs (DAGs) are used extensively to determine the variables for which it is sufficient to control for confounding to estimate causal effects.
Etsuji Suzuki +2 more
doaj +1 more source
Standardization and Control for Confounding in Observational Studies: A Historical Perspective
Control for confounders in observational studies was generally handled through stratification and standardization until the 1960s. Standardization typically reweights the stratum-specific rates so that exposure categories become comparable.
Clayton, David, Keiding, Niels
core +1 more source
Causal inference taking into account unobserved confounding
Causal inference with observational data can be performed under an assumption of no unobserved confounders (unconfoundedness assumption). There is, however, seldom clear subject-matter or empirical evidence for such an assumption.
de Luna, Xavier, Genbäck, Minna
core +1 more source
IntroductionThis study aims to discuss and assess the impact of three prevalent methodological biases: competing risks, immortal-time bias, and confounding bias in real-world observational studies evaluating treatment effectiveness.
Oksana Martinuka +11 more
doaj +1 more source
Confounding Factors in Container-Based Drought Tolerance Assessments in Solanum tuberosum [PDF]
Karin Köhl +3 more
openalex +1 more source
BackgroundDifferent strategies have been developed to minimize under-five mortality (U5M) in sub-Saharan African (sSA) countries; however, it is still a major health concern for children in the region.
Haile Mekonnen Fenta +5 more
doaj +1 more source
Amir Sarayani,1,2 Joshua D Brown,1,2 Christian Hampp,1,3 William T Donahoo,4,5 Almut G Winterstein1,2 1Department of Pharmaceutical Outcomes and Policy, College of Pharmacy, University of Florida, Gainesville, FL, USA; 2Center for Drug Safety and ...
Sarayani A +4 more
doaj
In observational studies, identifying and adjusting for a sufficient set of confounders is crucial for accurately estimating the causal effect of the exposure on the outcome.
Kosuke Inoue +5 more
doaj +1 more source
Challenges in estimating influenza vaccine effectiveness
Introduction: Influenza vaccination is regarded as the most effective way to prevent influenza infection. Due to the rapid genetic changes that influenza viruses undergo, seasonal influenza vaccines must be reformulated and re-administered annually ...
Kylie E. C. Ainslie +2 more
doaj +1 more source

