Defining the Need for Causal Inference to Understand the Impact of Social Determinants of Health: A Primer on Behalf of the Consortium for the Holistic Assessment of Risk in Transplantation (CHART) by Nrupen A. Bhavsar, PhD, Rachel E. Patzer, PhD, David J. Taber, PharmD, Katie Ross-Driscoll, PhD, Rhiannon Deierhoi Reed, PhD, Juan C. Caicedo-Ramirez, MD, Elisa J. Gordon, PhD, MPH, Roland A. Matsouaka, PhD, Ursula Rogers, BS, Wendy Webster, MBA, Andrew Adams, MD, PhD, Allan D. Kirk, MD, Lisa M. McElroy, MD

“…Designing studies to quantify the causal impact of these factors on transplant access and outcomes requires an understanding of the fundamental concepts of causal inference. Methods:. We present an overview of fundamental concepts in causal inference, including the potential outcomes framework and direct acyclic graphs. …”
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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 estimation of FTX collapse on cryptocurrency: a counterfactual prediction analysis by Khalid Khan, Adnan Khurshid, Javier Cifuentes-Faura

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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 patients by Min Woo Kang, Yoonjin Kang

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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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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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The economic impact of next-generation stadiums: evidence from the Juventus Stadium using synthetic control methodology by Valerio Antolini

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Targeted maximum likelihood based estimation for longitudinal mediation analysis by Wang Zeyi, Laan Lars van der, Petersen Maya, Gerds Thomas, Kvist Kajsa, Laan Mark van der

“…Journal of Causal Inference…”
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Syphilis and Urogenital Diseases during Pregnancy and Developmental Defects of Enamel: A Brazilian Prenatal Cohort (BRISA) by Elisa Miranda Costa, Judith Rafaelle Oliveira Pinho, Maria da Conceição Pereira Saraiva, Cecília Cláudia Costa Ribeiro, Claudia Maria Coêlho Alves, Erika Barbara Abreu Fonseca Thomaz

“…The effects were estimated by causal inference using a marginal structural model (Average Treatment Effect - ATE coefficients). …”
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Step-by-step causal analysis of EHRs to ground decision-making. by Matthieu Doutreligne, Tristan Struja, Judith Abecassis, Claire Morgand, Leo Anthony Celi, Gaël Varoquaux

“…Causal inference enables machine learning methods to estimate treatment effects of medical interventions from electronic health records (EHRs). …”
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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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Determining interaction directionality in complex biochemical networks from stationary measurements by N. Leibovich

“…Yet, the direction of the interaction, thus a causal inference, remains to be determined - especially in steady-state observations. …”
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