Results 11 to 20 of about 560,868 (267)
The study examines the effect of crop production technology intensification on wheat yield under drought conditions. The causal effect of fertilizers and herbicides usage was quantified based on a dataset of reports from 196 farms located in the Kulunda ...
Kirill O. Tarasov +2 more
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BackgroundEpidemiological observational studies have investigated the relationship between rheumatoid arthritis(RA) and pre-eclampsia, but no consistent conclusions were obtained due to various limitations.
Dingyi Zhang +13 more
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Learning Heterogeneity in Causal Inference Using Sufficient Dimension Reduction
Often the research interest in causal inference is on the regression causal effect, which is the mean difference in the potential outcomes conditional on the covariates. In this paper, we use sufficient dimension reduction to estimate a lower dimensional
Luo Wei, Wu Wenbo, Zhu Yeying
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COVID-19 and the risk of neuromyelitis optica spectrum disorder: a Mendelian randomization study
BackgroundAn increasing number of studies have elucidated a close nexus between COVID-19 phenotypes and neuromyelitis optica spectrum disorder (NMOSD), yet the causality between them remains enigmatic.MethodsIn this study, we conducted a Mendelian ...
Dongren Sun +5 more
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Information Bottleneck for Estimating Treatment Effects with Systematically Missing Covariates
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
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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
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Clustering of causal graphs to explore drivers of river discharge
This work aims to classify catchments through the lens of causal inference and cluster analysis. In particular, it uses causal effects (CEs) of meteorological variables on river discharge while only relying on easily obtainable observational data.
Wiebke Günther +3 more
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Bayesian causal discovery for policy decision making
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
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The Impact of Wind Farms on the Prices of Nearby Houses in Poland: A Review and Synthesis
Since 2009/10 Poland has experienced a dynamic growth of wind energy production. Currently, wind energy is the most popular resource of renewable energy in Poland.
Torzewski Marcin
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ABSTRACT Background Pediatric patients with extracranial solid tumors (ST) receiving chemotherapy are at an increased risk for Pneumocystis jirovecii pneumonia (PJP). However, evidence guiding prophylaxis practices in this population is limited. A PJP‐related fatality at our institution highlighted inconsistent prescribing approaches and concerns about
Kriti Kumar +8 more
wiley +1 more source

