Links between causal effects and causal association for surrogacy evaluation in a gaussian setting.
Sign Up to like & getrecommendations! Published in 2017 at "Statistics in medicine"
DOI: 10.1002/sim.7430
Abstract: Two paradigms for the evaluation of surrogate markers in randomized clinical trials have been proposed: the causal effects paradigm and the causal association paradigm. Each of these paradigms rely on assumptions that must be made… read more here.
Keywords: causal effects; effects causal; causal association; evaluation ... See more keywords
Constructing race: racialization, causal effects, or both?
Sign Up to like & getrecommendations! Published in 2018 at "Philosophical Studies"
DOI: 10.1007/s11098-018-1069-8
Abstract: Social constructionism about race is a common view, but there remain questions about what exactly constitutes constructed race. Some hold that our concepts and conceptual practices construct race, and some hold that the causal consequences… read more here.
Keywords: conceptual practices; concepts conceptual; constructing race; causal effects ... See more keywords
Assessing the causal effects of long-term exposure to PM2.5 during pregnancy on cognitive function in the adolescence: Evidence from a nationwide cohort in China.
Sign Up to like & getrecommendations! Published in 2021 at "Environmental pollution"
DOI: 10.1016/j.envpol.2021.118560
Abstract: The effects of air pollution on adolescents need further consideration. Although there is evidence that maternal exposure to air pollution may affect the cognitive function of offspring, relevant studies remain limited and inconsistent, with a… read more here.
Keywords: pollution; exposure; causal effects; evidence ... See more keywords
The causal effects of regional industrial policies on employment: A synthetic control approach
Sign Up to like & getrecommendations! Published in 2017 at "Regional Science and Urban Economics"
DOI: 10.1016/j.regsciurbeco.2017.08.003
Abstract: Industrial policies affecting entire sectors in regions, provinces, or districts can account for large portions of sub-national government spending. Yet because of the methodological challenges related to the identification of a counterfactual when a single… read more here.
Keywords: industrial policies; causal effects; approach; employment ... See more keywords
More suffering, more involvement? The causal effects of seismic disasters on social capital
Sign Up to like & getrecommendations! Published in 2021 at "World Development"
DOI: 10.1016/j.worlddev.2020.105221
Abstract: Abstract Between 2004 and 2007, a series of earthquakes struck Indonesia, resulting in devastating damages. We investigate the changes that occurred in social capital after the experience of these events. Employing a panel of nationally… read more here.
Keywords: capital; effects seismic; causal effects; involvement causal ... See more keywords
Distributional causal effects: Beyond an "averagarian" view of intervention effects.
Sign Up to like & getrecommendations! Published in 2022 at "Psychological methods"
DOI: 10.1037/met0000533.supp
Abstract: The usefulness of mean aggregates in the analysis of intervention effectiveness is a matter of considerable debate in the psychological, educational, and social sciences. In addition to studying "average treatment effects," the evaluation of "distributional… read more here.
Keywords: distributional causal; beyond averagarian; effects beyond; causal effects ... See more keywords
Simultaneous estimation of bi-directional causal effects and heritable confounding from GWAS summary statistics
Sign Up to like & getrecommendations! Published in 2021 at "Nature Communications"
DOI: 10.1038/s41467-021-26970-w
Abstract: Mendelian Randomisation (MR) is an increasingly popular approach that estimates the causal effect of risk factors on complex human traits. While it has seen several extensions that relax its basic assumptions, most suffer from two… read more here.
Keywords: simultaneous estimation; summary statistics; heritable confounder; causal effects ... See more keywords
G-computation and machine learning for estimating the causal effects of binary exposure statuses on binary outcomes
Sign Up to like & getrecommendations! Published in 2021 at "Scientific Reports"
DOI: 10.1038/s41598-021-81110-0
Abstract: In clinical research, there is a growing interest in the use of propensity score-based methods to estimate causal effects. G-computation is an alternative because of its high statistical power. Machine learning is also increasingly used… read more here.
Keywords: machine; machine learning; computation; causal effects ... See more keywords
Combining Multiple Observational Data Sources to Estimate Causal Effects
Sign Up to like & getrecommendations! Published in 2020 at "Journal of the American Statistical Association"
DOI: 10.1080/01621459.2019.1609973
Abstract: Abstract The era of big data has witnessed an increasing availability of multiple data sources for statistical analyses. We consider estimation of causal effects combining big main data with unmeasured confounders and smaller validation data… read more here.
Keywords: data sources; big main; effects combining; causal effects ... See more keywords
Causal effects of stochastic PrEP interventions on HIV incidence among men who have sex with men.
Sign Up to like & getrecommendations! Published in 2023 at "American journal of epidemiology"
DOI: 10.1093/aje/kwad097
Abstract: Antiretroviral preexposure prophylaxis (PrEP) is highly effective in preventing HIV infection, but uptake has been limited and inequitable. Although interventions to increase PrEP uptake are being evaluated in clinical trials among men who have sex… read more here.
Keywords: incidence; among men; sex men; causal effects ... See more keywords
Genome-wide Mendelian randomization and single-cell RNA sequencing analyses identify the causal effects of COVID-19 on 41 cytokines.
Sign Up to like & getrecommendations! Published in 2022 at "Briefings in functional genomics"
DOI: 10.1093/bfgp/elac033
Abstract: The elevated levels of inflammatory cytokines have attracted much attention during the treatment of COVID-19 patients. The conclusions of current observational studies are often controversial in terms of the causal effects of COVID-19 on various… read more here.
Keywords: cell; mendelian randomization; effects covid; single cell ... See more keywords