Integrating machine learning with mendelian randomization for unveiling causal gene networks in glioblastoma multiforme by Lixin Du, Pan Wang, Xiaoting Qiu, Zhigang Li, Jianlan Ma, Pengfei Chen

“…MR analysis was performed to establish causal relationships between genetically predicted gene expression levels and GBM outcomes. …”
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Causal analysis of dietary preferences and the risk of endometriosis using large-scale population data by Xin Cheng, Dan Ma, Xiuhong Wang, Meiling Li, Jinpeng Jiang

“…Dietary preferences with potential causal relationships to EM were identified using two-sample MR methods. …”
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CausMatch: Causal Matching Learning With Counterfactual Preference Framework for Cross-Modal Retrieval by Chen Chen, Dan Wang

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Dynamics of Dissipative Viscous Cylindrical Collapse with Full Causal Approach in f(R) Gravity by G. Abbas, H. Nazar

“…The dynamical equation is then coupled with full causal transportation equations in the context of Israel-Stewart formalism. …”
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Causality of Blood Metabolites on Proliferative Diabetic Retinopathy: Insights From a Genetic Perspective by Zhaoxiang Wang, Bing Lu, Li Zhang, Yuwen Xia, Xiaoping Shao, Shao Zhong

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The causal relationship between digital literacy and students’ academic achievement: a meta-analysis by Feng Li, Liang Cheng, Xi Wang, Lingxia Shen, Yuxin Ma, A. Y. M. Atiquil Islam

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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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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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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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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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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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