Comparative analysis of correlation and causality inference in water quality problems with emphasis on TDS Karkheh River in Iran by Reza Shakeri, Hossein Amini, Farshid Fakheri, Man Yue Lam, Banafsheh Zahraie

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Similar Survival Between Non-Western Immigrant Patients and Danish-Born Patients with Lymphoma: A Danish Population-Based Study by Simonsen MR, Maksten EF, Jakobsen LH, Severinsen MT, Dann EJ, Frederiksen H, Niemann CU, Jørgensen JM, Clausen MR, Starklint J, Johnsen SP, El-Galaly TC, Baech J

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Causal models and prediction in cell line perturbation experiments by James P. Long, Yumeng Yang, Shohei Shimizu, Thong Pham, Kim-Anh Do

Subjects: “…Causal inference…”
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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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A novel framework for assessing causal effect of microbiome on health: long-term antibiotic usage as an instrument by Nele Taba, Krista Fischer, Estonian Biobank Research Team, Elin Org, Oliver Aasmets

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Investigation of the causal relationship between patient portal utilization and patient’s self-care self-efficacy and satisfaction in care among patients with cancer by Jaeyoung Park, Shilin Guo, Muxuan Liang, Xiang Zhong

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Causal relationship between blood lipids and diabetic kidney disease：a Mendelian randomization study by Wang Hao-hao, Liu Hao-fei, Miao Shao-bo, Jia Run-ke, Ma Ji-wei

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Causal inference and machine learning in endocrine epidemiology by Kosuke Inoue

Subjects: “…causal inference…”
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Causal estimation of FTX collapse on cryptocurrency: a counterfactual prediction analysis by Khalid Khan, Adnan Khurshid, Javier Cifuentes-Faura

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Practically effective adjustment variable selection in causal inference by Atsushi Noda, Takashi Isozaki

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Causal relationship between immune cells and risk of heart failure: evidence from a Mendelian randomization study by Wenjing Cao, Zefu Yang, Liumei Mo, Zhenhao Liu, Jiawei Wang, Zhenhong Zhang, Kui Wang, Wei Pan

Subjects: “…causal inference…”
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A practical guide for nephrologist peer reviewers: understanding and appraising Mendelian randomization studies by Jianbo Qing, Yafeng Li, Karim M. Soliman, Wisit Cheungpasitporn

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Assessing the Causal Relationship Between Various Immune Cells and Attention Deficit Hyperactivity Disorder: Mendelian Randomization Study by Qian Ge, Zhongyan Li, Weijing Meng, Chen Cai, Mengdi Qiu, Yafei Liu, Haibo Zhu

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Individualized treatment recommendations for patients with locally advanced head and neck squamous cell carcinoma utilizing deep learning by Linmei Zhang, Enzhao Zhu, Jiaying Shi, Xiao Wu, Shaokang Cao, Sining Huang, Zisheng Ai, Jiansheng Su

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Unraveling the causal impact of smoking and its DNA methylation signatures on cardiovascular disease: Mendelian randomization and colocalization analysis by Si Cao, Youjie Zeng, Ke Pang, Minghua Chen, Ren Guo, Nayiyuan Wu, Chao Fang, Huiyin Deng, Xiaoyi Zhang, Xiaohui Xie, Wen Ouyang, Heng Yang

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Measure-and-remeasure as an economically feasible approach to crediting soil organic carbon at scale by Eric Potash, Mark A Bradford, Emily E Oldfield, Kaiyu Guan

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Do maternal haemodynamics have a causal influence on treatment for gestational diabetes? by Abigail R. Anness, Michael Foster, Mohammed W. Osman, David Webb, Thompson Robinson, Asma Khalil, Neil Walkinshaw, Hatem A. Mousa

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Utilizing deep learning-based causal inference to explore vancomycin’s impact on continuous kidney replacement therapy necessity in blood culture-positive intensive care unit patie... by Min Woo Kang, Yoonjin Kang

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CausalXtract, a flexible pipeline to extract causal effects from live-cell time-lapse imaging data by Franck Simon, Maria Colomba Comes, Tiziana Tocci, Louise Dupuis, Vincent Cabeli, Nikita Lagrange, Arianna Mencattini, Maria Carla Parrini, Eugenio Martinelli, Herve Isambert

Subjects: “…causal inference…”
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Decision making, symmetry and structure: Justifying causal interventions by Johnston David O., Ong Cheng Soon, Williamson Robert C.

Subjects: “…causal inference…”
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