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Frontiers in Public Health, 2023 IntroductionThe causal relationship between Coronavirus disease 2019 (COVID-19) and osteoporosis (OP) remains uncertain. We aimed to assess the effect of COVID-19 severity (severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, COVID-19 ...
Kai Zhang +16 more
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Iranian 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
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Frontiers in Endocrinology, 2023 BackgroundBreast and thyroid cancer are increasingly prevalent, but it remains unclear whether the observed associations are due to heightened medical surveillance or intrinsic etiological factors.
Hong Tan +5 more
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Causal Effects of Linguistic Properties [PDF]
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021 To appear at NAACL 2021 (Annual Conference of the North American Chapter of the Association for Computational Linguistics)
Dhanya Sridhar +4 more
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Causality and the effective range expansion [PDF]
Annals of Physics, 2010 We derive the generalization of Wigner's causality bounds and Bethe's integral formula for the effective range parameter to arbitrary dimension and arbitrary angular momentum. We also discuss the impact of these constraints on the separation of low- and high-momentum scales and universality in low-energy scattering.
Dean Lee, Dean Lee, Hans-Werner Hammer
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The Causal Effects of Place on Health and Longevity [PDF]
SSRN Electronic Journal, 2021 Life expectancy varies substantially across local regions within a country, raising conjectures that place of residence affects health. However, population sorting and other confounders make it difficult to disentangle the effects of place on health from other geographic differences in life expectancy.
Deryugina, Tatyana, Molitor, David
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Local Causal Discovery for Estimating Causal Effects
, 2023 Even when the causal graph underlying our data is unknown, we can use observational data to narrow down the possible values that an average treatment effect (ATE) can take by (1) identifying the graph up to a Markov equivalence class; and (2) estimating that ATE for each graph in the class.
Gupta, Shantanu +2 more
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Learning Heterogeneity in Causal Inference Using Sufficient Dimension Reduction
Journal of Causal Inference, 2019 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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On the Causal Effect of Badges [PDF]
Proceedings of the 2018 World Wide Web Conference on World Wide Web - WWW '18, 2018 A wide variety of online platforms use digital badges to encourage users to take certain types of desirable actions. However, despite their growing popularity, their causal effect on users» behavior is not well understood. This is partly due to the lack of counterfactual data and the myriad of complex factors that influence users» behavior over time ...
Manuel Gomez-Rodriguez +1 more
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