Results 41 to 50 of about 16,076,570 (308)

Adversarial balancing-based representation learning for causal effect inference with observational data [PDF]

open access: yesData mining and knowledge discovery, 2019
Learning causal effects from observational data greatly benefits a variety of domains such as health care, education, and sociology. For instance, one could estimate the impact of a new drug on specific individuals to assist clinical planning and improve
Xin Du   +4 more
semanticscholar   +1 more source

Bayesian causal discovery for policy decision making

open access: yesData & Policy
This paper demonstrates how learning the structure of a Bayesian network, often used to predict and represent causal pathways, can be used to inform policy decision-making.
Catarina Moreira   +6 more
doaj   +1 more source

Causal Effects of Body Mass Index and Maternal Age on Oocyte Maturation in Assisted Reproductive Technology: Model-Average Causal Effect and Bayesian LASSO Method

open access: yesIranian Journal of Public Health, 2020
Background: Body Mass Index (BMI) and maternal age are related to various disorders of the female reproductive system. This study aimed to estimate the causal effects of BMI and maternal age on the rate of metaphase II oocytes (MII) using a new ...
Ahad ALIZADEH   +4 more
doaj   +1 more source

Incremental causal effects

open access: yes, 2019
Causal evidence is needed to act and it is often enough for the evidence to point towards a direction of the effect of an action. For example, policymakers might be interested in estimating the effect of slightly increasing taxes on private spending across the whole population.
Rothenhäusler, Dominik, Yu, Bin
openaire   +2 more sources

Stressful Events Reported by Childhood Cancer Survivors and Community Controls From the St. Jude Lifetime (SJLIFE) Cohort: A Mixed Method Study

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction Characterizing stressful events reported by childhood cancer survivors experienced throughout the lifespan may help improve trauma‐informed care relevant to the survivor experience. Methods Participants included 2552 survivors (54% female; 34 years of age) and 469 community controls (62% female; 33 years of age) from the St.
Megan E. Ware   +13 more
wiley   +1 more source

The association of maternal smoking around birth with chronic respiratory diseases in adult offspring: A Mendelian randomization study

open access: yesTobacco Induced Diseases
Introduction Maternal smoking during pregnancy disturbs fetal lung development, and induces in their offspring childhood respiratory diseases. Whether it has a continued impact on offspring adult lung health and exerts a casual effect of chronic ...
Yun-Xia Huo   +3 more
doaj   +1 more source

Information Bottleneck for Estimating Treatment Effects with Systematically Missing Covariates

open access: yesEntropy, 2020
Estimating the effects of an intervention from high-dimensional observational data is a challenging problem due to the existence of confounding. The task is often further complicated in healthcare applications where a set of observations may be entirely ...
Sonali Parbhoo   +3 more
doaj   +1 more source

Unheard and Under‐Supported: Health‐Related Quality of Life in Children, Adolescents, and Young Adults With Sickle Cell Disease

open access: yesPediatric Blood &Cancer, EarlyView.
Abstract Background Sickle cell disease (SCD) is an autosomal recessive hemoglobinopathy affecting millions of individuals worldwide. The clinical expression and psychosocial burden of SCD vary widely across geographical, cultural, and healthcare system contexts, underscoring the need for setting‐specific approaches to assessment.
Desiré Fantasia   +7 more
wiley   +1 more source

Association between sleep-related phenotypes and gut microbiota: a two-sample bidirectional Mendelian randomization study

open access: yesFrontiers in Microbiology
BackgroundAn increasing body of evidence suggests a profound interrelation between the microbiome and sleep-related concerns. Nevertheless, current observational studies can merely establish their correlation, leaving causality unexplored.Study ...
Xiaoqiu Wang   +5 more
doaj   +1 more source

Bayesian Diallel Analysis Reveals Mx1-Dependent and Mx1-Independent Effects on Response to Influenza A Virus in Mice

open access: yesG3: Genes, Genomes, Genetics, 2018
Influenza A virus (IAV) is a respiratory pathogen that causes substantial morbidity and mortality during both seasonal and pandemic outbreaks. Infection outcomes in unexposed populations are affected by host genetics, but the host genetic architecture is
Paul L. Maurizio   +15 more
doaj   +1 more source

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