Results 1 to 10 of about 117 (76)

Individualized treatment rules under stochastic treatment cost constraints

Journal of Causal Inference, 2022
Estimation and evaluation of individualized treatment rules have been studied extensively, but real-world treatment resource constraints have received limited attention in existing methods.
Qiu Hongxiang, Carone Marco, Luedtke Alex   +2 more
doaj   +1 more source

Mediated probabilities of causation

Journal of Causal Inference
We propose a set of causal estimands that we call “the mediated probabilities of causation.” These estimands quantify the probabilities that an observed negative outcome was induced via a mediating pathway versus a direct pathway in a stylized setting ...
Rubinstein Max, Cuellar Maria, Malinsky Daniel   +2 more
doaj   +1 more source

Using t-Student and U-Mann-Whitney tests to identify differences in the study of the impact of the Covid 19 pandemic in online education in schools

Analele Stiintifice ale Universitatii Ovidius Constanta: Seria Matematica, 2023
The pandemic has represented an extraordinary time similar to natural calamities that radically transformed the way of society had to function. Freedom of movement but also physical proximity were restricted, proportional to the danger to the health of ...
Călin Mariana Floricica, Tuşa Enache
doaj   +1 more source

Almost exact Mendelian randomization

, 2023
Mendelian randomization (MR) is a natural experimental design based on the random transmission of genes from parents to offspring. However, this inferential basis is typically only implicit or used as an informal justification.
Smith, George Davey, Tudball, Matthew J, Zhao, Qingyuan   +2 more
core  

Causality and independence in perfectly adapted dynamical systems

Journal of Causal Inference, 2023
Perfect adaptation in a dynamical system is the phenomenon that one or more variables have an initial transient response to a persistent change in an external stimulus but revert to their original value as the system converges to equilibrium.
Blom Tineke, Mooij Joris M.
doaj   +1 more source

Single proxy synthetic control

Journal of Causal Inference
Synthetic control methods are widely used to estimate the treatment effect on a single treated unit in time-series settings. A common approach to estimate synthetic control weights is to regress the treated unit’s pretreatment outcome and covariates ...
Park Chan, Tchetgen Tchetgen Eric J.
doaj   +1 more source

Sensitivity analysis for causal decomposition analysis: Assessing robustness toward omitted variable bias

Journal of Causal Inference, 2023
A key objective of decomposition analysis is to identify a factor (the “mediator”) contributing to disparities in an outcome between social groups. In decomposition analysis, a scholarly interest often centers on estimating how much the disparity (e.g ...
Park Soojin, Kang Suyeon, Lee Chioun, Ma Shujie   +3 more
doaj   +1 more source

Matching estimators of causal effects in clustered observational studies

Journal of Causal Inference
Marine conservation preserves fish biodiversity, protects marine and coastal ecosystems, and supports climate resilience and adaptation. Despite the importance of establishing marine protected areas (MPAs), research on the effectiveness of MPAs with ...
Cui Can, Zhang Yunshu, Yang Shu, Reich Brian J., Gill David A.   +4 more
doaj   +1 more source

Potential outcome and decision theoretic foundations for statistical causality

Journal of Causal Inference, 2023
In a recent work published in this journal, Philip Dawid has described a graphical causal model based on decision diagrams. This article describes how single-world intervention graphs (SWIGs) relate to these diagrams.
Richardson Thomas S., Robins James M.
doaj   +1 more source

Spillover detection for donor selection in synthetic control models

Journal of Causal Inference
Synthetic control (SC) models are widely used to estimate causal effects in settings with observational time-series data. To identify the causal effect on a target unit, SC requires the existence of additional units that are not impacted by the ...
O’Riordan Michael, Gilligan-Lee Ciarán M.   +1 more
doaj   +1 more source