Inflation, Inflationary Tax and Tax Evasion in Algeria: An Empirical Analysis of Underlying Causal Interactions by Feriel Dermechi, Ahmed Zakane

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Diabetes Prediction Through Linkage of Causal Discovery and Inference Model with Machine Learning Models by Mi Jin Noh, Yang Sok Kim

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Causal Mediation Analyses for the Natural Course of Hepatitis C: A Prospective Cohort Study by Yi-Ting Huang, Yao-Chun Hsu, Hwai-I Yang, Mei-Hsuan Lee, Tai-Hsuan Lai, Chien-Jen Chen, Yen-Tsung Huang

“…The cohort data were linked to Taiwan’s National Health Insurance Research Database to determine the incidences of potential mediating diseases and mortality. We employed causal mediation analyses to estimate the mediation effects of HCV on mortality in relation to the incidences of 34 candidate diseases. …”
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Causal relationship between affect disorders and endometrial cancer: a Mendelian randomisation study by Yewu Sun, Shuo Geng, Chunmeng Fu, Xiaoyan Song, Hua Lin, Yidan Xu

“…Background The aim was to assess the causal relationship between depression and anxiety disorders and endometrial cancer.Method We performed two-sample Mendelian randomisation analysis using summary statistics from genome-wide association studies to assess associations of major depressive disorder, anxiety and stress-related disorders with endometrial cancer. …”
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Familial Comorbidity of Bipolar Disorder and Multiple Sclerosis: Genetic Susceptibility, Coexistence or Causal Relationship? by Mary H. Kosmidis, Vasilis P. Bozikas, Vaitsa Giannouli, Athanasios Karavatos, Konstantinos Fokas

“…One hypothesis posits that, when there is comorbidity, MS plays a causal role in psychiatric manifestations. Another suggests that both disorders have a common underlying physiological process that increases the likelihood of their co-occurrence. …”
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Mendelian randomization analysis reveals causal relationship between tonsillectomy and irritable bowel syndrome by Huaiquan Liu, Shuoshuo Shao, Bo Chen, Shili Yang, Xinyan Zhang

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Post-Recession Recovery in US Air Transport: Forecasting with a Temporal Causal Model by Maja Ozmec-Ban, Ružica Škurla Babić, Vladimir Vasić, Dajana Bartulović

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Utilising causal inference methods to estimate effects and strategise interventions in observational health data by Bao Duong, Manisha Senadeera, Toan Nguyen, Melanie Nichols, Kathryn Backholer, Steven Allender, Thin Nguyen

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Using causal diagrams and superpopulation models to correct geographic biases in biodiversity monitoring data by Robin J. Boyd, Marc Botham, Emily Dennis, Richard Fox, Collin Harrower, Ian Middlebrook, David B. Roy, Oliver L. Pescott

“…Otherwise, the data are geographically biased, and some form of correction is desirable. We combine causal diagrams with ‘superpopulation models’ to correct time‐varying geographic biases in biodiversity monitoring data. …”
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Predicting Large-Scale WLAN Traffic via Granger Causality Based Bayesian Network by Hao Wang, Yunfei Lv, Yuanbao Chen, Yunfei Peng

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Causal relationship between inflammatory bowel disease and sex: a Mendelian randomization study by Kaiwen Wang, Yu Lou, Shunjie Tian, Zhihui Tao, Zhihui Tao

“…We used inverse variance weighting (IVW), weighted median, weighted mode, and MR-Egger to assess bidirectional causality between sex hormones and IBD.ResultsThere was no causal relationship between sex hormones and IBD in women (P > 0.05), and there was a causal and positive correlation between SHBG and testosterone and IBD in men.The OR for SHBG was 1.22 (95% CI: 1.09-1.37, P = 0.0004), and for testosterone was 1.20 (95% CI: 1.04-1.39, P = 0.0145).IBD did not significantly interact with female sex hormones but resulted in a decrease in SHBG (OR = 1.02, 95% CI: 1.00-1.04, P = 0.0195) and testosterone (OR = 1.01, 95% CI: 1.00 -1.02, P = 0.0200) in men.ConclusionThere is no causal relationship between female sex hormones and IBD, but male SHBG and testosterone are positively correlated with the risk of IBD and IBD promotes elevated levels of SHBG and testosterone in males, suggesting that sex hormones play different roles in IBD patients of different sexes.…”
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Proteome-wide mendelian randomization identifies causal plasma proteins in interstitial lung disease by Kunrong Yu, Wanying Li, Wenjie Long, Yijia Li, Yanting Li, Huili Liao, Jianhong Liu

“…Abstract Interstitial lung disease (ILD) has shown limited treatment advancements, with minimal exploration of circulating protein biomarkers causally linked to ILD and its subtypes beyond idiopathic pulmonary fibrosis (IPF). …”
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First genome-scale insights into the virulence of the snow mold causal fungus Microdochium nivale by Ivan Tsers, Ekaterina Marenina, Azat Meshcherov, Olga Petrova, Olga Gogoleva, Alexander Tkachenko, Natalia Gogoleva, Yuri Gogolev, Evgenii Potapenko, Olga Muraeva, Mira Ponomareva, Viktor Korzun, Vladimir Gorshkov

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Impact of empiric antibiotics on risk of Clostridioides difficile—a causal inference observational analysis by Matthew A. Pappas, Shoshana J. Herzig, Andrew D. Auerbach, Abhishek Deshpande, Eunice Blanchard, Michael B. Rothberg

“…Conclusions: Among common empiric antibiotics, parenteral vancomycin and cefepime appeared to increase risk of hospital-onset CDI. Causal inference observational study designs can be used to estimate patient-level harms of interventions such as empiric antimicrobials. …”
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Interdomain routing instability traceable detection method based on route state causal chain by Di CHEN, Han QIU, Wanli ZHANG, Huihu ZHU, Junhu ZHU, Qingxian WANG

“…To solve the problem of detection time limitation caused by route update delay and the possible tampering of traceability information in existing route instability traceable detection methods， an interdomain routing instability traceable detection method based on route state causal chain was proposed.By analyzing the causal relationship of route states， the route state update token that can describe the route state change and transfer process was defined.Route state update tokens were published and stored in the blockchain during the route update propagation to construct the decentralized and tamper-resistant route state causal chain.By analyzing the route state causal chain， the type of route instability was judged， and the failed links or policy-conflict AS sequences were located to achieve route instability traceable detection.The capability of proposed method to trace the failure link and the policy-conflict AS sequence which could lead to convergence delay and persistent route oscillation respectively was proven theoretically， and validating experiment based on software routers in typical topology was carried out.The experimental results demonstrate that the proposed method can timely detect route instability caused by the dynamic changes of both policy and topology， and determine type and root cause of route instability without modifying BGP.…”
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D-Optimal Design for a Causal Structure for Completely Randomized and Random Blocked Experiments by Zaher Kmail, Kent Eskridge

“…Most experimental design literature on causal inference focuses on establishing a causal relationship between variables, but there is no literature on how to identify a design that results in the optimal parameter estimates for a structural equation model (SEM). …”
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Causal discovery and fault diagnosis based on mixed data types for system reliability modeling by Xiaokang Wang, Siqi Jiang, Xinghan Li, Mozhu Wang

Subjects: “…Causal discovery…”
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Causal relationship between gastroesophageal reflux disease and chronic obstructive respiratory disease: A bidirectional Mendelian randomization study by Shan Lin, Dingfeng Lai, Wanmei He, Qingyuan Zhan

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Tense Logics and Determinism by Surowik Dariusz

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Causal links between obesity, lipids, adipokines, and cognition: a bidirectional Mendelian-randomization analysis by Meng Gong, Haichao Liu, Zhixiang Liu, Yongshen Wang, Shiyi Qi, Hong Guo, Song Jin

“…For the reverse causal direction, our consistent findings that worse cognitive function such as SRT and FIS may influence serum HDL level and BMI.…”
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