Reducing bias in experimental ecology through directed acyclic graphs
Sign Up to like & getrecommendations! Published in 2023 at "Ecology and Evolution"
DOI: 10.1002/ece3.9947
Abstract: Abstract Ecologists often rely on randomized control trials (RCTs) to quantify causal relationships in nature. Many of our foundational insights of ecological phenomena can be traced back to well‐designed experiments, and RCTs continue to provide… read more here.
Keywords: ecology; acyclic graphs; reducing bias; causal ... See more keywords
Causal associations between sleep traits and four cardiac diseases: a Mendelian randomization study
Sign Up to like & getrecommendations! Published in 2022 at "ESC Heart Failure"
DOI: 10.1002/ehf2.14016
Abstract: Previous studies investigated the associations between sleep traits and cardiac diseases, but the evidence for the causal inferences was unclear. This study aimed to explore the causal relationship between sleep and cardiac diseases by virtue… read more here.
Keywords: cardiac diseases; mendelian randomization; causal; study ... See more keywords
MR‐BOIL: Causal inference in one‐sample Mendelian randomization for binary outcome with integrated likelihood method
Sign Up to like & getrecommendations! Published in 2023 at "Genetic Epidemiology"
DOI: 10.1002/gepi.22520
Abstract: Mendelian randomization is a statistical method for inferring the causal relationship between exposures and outcomes using an economics‐derived instrumental variable approach. The research results are relatively complete when both exposures and outcomes are continuous variables.… read more here.
Keywords: boil; mendelian randomization; causal; method ... See more keywords
Large‐scale dynamic causal modeling of major depressive disorder based on resting‐state functional magnetic resonance imaging
Sign Up to like & getrecommendations! Published in 2020 at "Human Brain Mapping"
DOI: 10.1002/hbm.24845
Abstract: Major depressive disorder (MDD) is a serious mental illness characterized by dysfunctional connectivity among distributed brain regions. Previous connectome studies based on functional magnetic resonance imaging (fMRI) have focused primarily on undirected functional connectivity and… read more here.
Keywords: depressive disorder; network; mdd; major depressive ... See more keywords
Mendelian randomization study on the causal effects of COVID‐19 on childhood intelligence
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Medical Virology"
DOI: 10.1002/jmv.27736
Abstract: Although individuals with coronavirus disease 2019 (COVID‐19) are known to be at increased risk for other conditions resulting from pathogenic changes (including metaplastic or anaplastic) in the lungs and other organs and organ systems, it… read more here.
Keywords: intelligence; mendelian randomization; childhood intelligence; covid ... See more keywords
An integrated strategy to identify COVID‐19 causal genes and characteristics represented by LRRC37A2
Sign Up to like & getrecommendations! Published in 2023 at "Journal of Medical Virology"
DOI: 10.1002/jmv.28585
Abstract: Genome‐wide association study (GWAS) could identify host genetic factors associated with coronavirus disease 2019 (COVID‐19). The genes or functional DNA elements through which genetic factors affect COVID‐19 remain uncharted. The expression quantitative trait locus (eQTL)… read more here.
Keywords: strategy identify; integrated strategy; causal genes; causal ... See more keywords
Propensity score weighting for causal subgroup analysis
Sign Up to like & getrecommendations! Published in 2021 at "Statistics in Medicine"
DOI: 10.1002/sim.9029
Abstract: A common goal in comparative effectiveness research is to estimate treatment effects on prespecified subpopulations of patients. Though widely used in medical research, causal inference methods for such subgroup analysis (SGA) remain underdeveloped, particularly in… read more here.
Keywords: subgroup; causal; score weighting; subgroup analysis ... See more keywords
Robust inference on effects attributable to mediators: A controlled‐direct‐effect‐based approach for causal effect decomposition with multiple mediators
Sign Up to like & getrecommendations! Published in 2022 at "Statistics in Medicine"
DOI: 10.1002/sim.9329
Abstract: Effect decomposition is a critical technique for mechanism investigation in settings with multiple causally ordered mediators. Causal mediation analysis is a standard method for effect decomposition, but the assumptions required for the identification process are… read more here.
Keywords: effect; controlled direct; effect decomposition; mediation ... See more keywords
A flexible approach for causal inference with multiple treatments and clustered survival outcomes
Sign Up to like & getrecommendations! Published in 2022 at "Statistics in Medicine"
DOI: 10.1002/sim.9548
Abstract: When drawing causal inferences about the effects of multiple treatments on clustered survival outcomes using observational data, we need to address implications of the multilevel data structure, multiple treatments, censoring, and unmeasured confounding for causal… read more here.
Keywords: causal inference; treatments clustered; causal; multiple treatments ... See more keywords
Building resilience through psychotherapy
Sign Up to like & getrecommendations! Published in 2019 at "World Psychiatry"
DOI: 10.1002/wps.20663
Abstract: 289 of spontaneous remission, about half was due to nonspecific factors that would occur in any given treatment, and only about a sixth was due to the specific effects of presumably “active” treatments. Because all… read more here.
Keywords: mediation; change; treatment; causal ... See more keywords
Transkingdom Networks: A Systems Biology Approach to Identify Causal Members of Host-Microbiota Interactions.
Sign Up to like & getrecommendations! Published in 2018 at "Methods in molecular biology"
DOI: 10.1007/978-1-4939-8728-3_15
Abstract: Improvements in sequencing technologies and reduced experimental costs have resulted in a vast number of studies generating high-throughput data. Although the number of methods to analyze these "omics" data has also increased, computational complexity and… read more here.
Keywords: biology approach; causal; biology; systems biology ... See more keywords