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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Methods for Analyzing Multivariate Phenotypes in Genetic Association Studies by Qiong Yang, Yuanjia Wang

“…We also reviewed causal inference methods designed to test whether the detected association with the multivariate phenotype is truly pleiotropy or the genetic marker exerts its effects on some phenotypes through affecting the others.…”
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Factors associated with lung cancer among firefighters: a systematic literature review by Augustine W. Kang, Natalie S. Lui

“…The study advocates for improved methodology, suggesting the use of individual-level exposure metrics like “fire-hours” to enhance causal inference. Despite limitations in current literature, the findings stress the urgency of understanding the intricacies of lung cancer development among firefighters and call for further research to inform preventive measures and potential screening protocols.…”
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Inferring causal connectivity from pairwise recordings and optogenetics. by Mikkel Elle Lepperød, Tristan Stöber, Torkel Hafting, Marianne Fyhn, Konrad Paul Kording

“…In simulated neural networks, we find that estimates using ideas from IV and DiD outperform naïve techniques suggesting that methods from causal inference can be useful to disentangle neural interactions in the brain.…”
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Discovering causal models for structural, construction and defense-related engineering phenomena by M.Z. Naser

“…To this end, this paper starts with a brief review of the principles of causality and then adopts four causal discovery algorithms, namely, PC (Peter-Clark), FCI (fast causal inference), GES (greedy equivalence search), and GRaSP (greedy relaxation of the sparsest permutation), have been used to examine four phenomena, including predicting the load-bearing capacity of axially loaded members, fire resistance of structural members, shear strength of beams, and resistance of walls against impulsive (blast) loading. …”
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Principal Covariates Regression for Causal Case Studies by Weibin Ding, Jie Li, Dian Jin, Jiayang Kong

“…From a theoretical perspective, we introduce the statistical literature on dimensional reduction to make a causal inference. From a technique perspective, we combine the vertical regression and the horizontal regression. …”
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The impact of health on economic and social outcomes in the United Kingdom: A scoping literature review. by Dawid Gondek, Ke Ning, George B Ploubidis, Bilal Nasim, Alissa Goodman

“…A number of methodological challenges need to be addressed, particularly related to causal inference, to produce robust evidence with potential to inform public health policy.…”
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Correspondence: insulin resistance and chronic kidney disease in patients without diabetes by Hong Tham Pham, Kim-Huong Truong-Nguyen, Minh-Hoang Tran

“…Abstract Future investigations on the association between insulin resistance in people without diabetes and chronic kidney disease (CKD) should consider the following aspects to facilitate causal inference and provide more robust findings. The study design should have an adequate follow-up period to rule out reverse causation and pre-existing diabetes, as well as to confirm the diagnosis of CKD. …”
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Perfectionism and compulsive exercise: a systematic review and preliminary meta-analysis by Elizabeth Bills, Shannon R. Muir, Rose Stackpole, Sarah J. Egan

“…Limitations included the low number of available studies, the inclusion of only one clinical sample, and predominately cross-sectional studies which precluded causal inference. Conclusion Higher perfectionism was associated with higher compulsive exercise. …”
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The influence of credits and stigmas in volunteering on depression, the modulating effects of volunteer personality and motivation by Juntao Chen, Yifan Zhang, Suhua Zhou, Chenlu Yang, Lianghua Li, Lu Ma, Shuzhen Zhu

“…Although the large sample size strengthens the study, the cross-sectional design limits causal inference. Overall, the study underscores the importance of understanding personality traits and motivations in developing effective volunteer support measures, thereby enhancing service quality and community well-being.…”
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Resilience of the circular economy to global disruptions in scrap recycling by Xiao Li, Xuezhao Chen, Junming Zhu, Peng Zhang, Haijia Shi, Marian R. Chertow

“…Using transaction-level data from a waste trading platform and causal inference methods, we evaluated how the pandemic disrupted copper scrap supply and transactions. …”
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Estimating the Effect of Adhering to the Recommendations of the 2019 Canada’s Food Guide on Health Outcomes in Older Adults: Protocol for a Target Trial Emulation by Didier Brassard, Nancy Presse, Stéphanie Chevalier

“…An alternative is the target trial emulation framework for causal inference, a novel approach to improve the analysis of observational data. …”
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Inconsistent ENSO teleconnections over East Asia in early and late winter: role of Siberian land-atmosphere coupling by Xiadong An, Wen Chen, Tianjiao Ma, Lifang Sheng

“…The El Niño–Southern Oscillation (ENSO) teleconnections over East Asia display inconsistency between early and late winter, yet the undering physical mechanisms remain unclear. Employing causal inference analysis, including Liang-Kleeman information flow and PC-MCI causal discovery, our study reveals a stable information flow from ENSO to the upper tropospheric atmospheric circulation (250 hPa) over southern East Asia. …”
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Medical Resource Use and Costs of Treating Sickle Cell-related Vaso-occlusive Crisis Episodes: A Retrospective Claims Study by Nirmish Shah, Menaka Bhor, Lin Xie, Jincy Paulose, Huseyin Yuce

“…This study was limited to observation of associations rather than causal inference, and by possible coding and identification discrepancies and the restricted generalizability of the population. …”
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HMOX1 as a potential drug target for upper and lower airway diseases: insights from multi-omics analysis by Enhao Wang, Shazhou Li, Yang Li, Tao Zhou

“…Candidate genes were further screened using Gene Set Enrichment Analysis (GSEA) and Random Forest (RF) algorithms. Causal inference between candidate genes and upper and lower airway diseases (CRSwNP, allergic rhinitis (AR), and asthma (AS)) was conducted using bidirectional two-sample Mendelian randomization (TwoSampleMR) analysis. …”
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Lipid Profiles, Telomere Length, and the Risk of Malignant Tumors: A Mendelian Randomization and Mediation Analysis by Shupeng Liu, Zhengzheng Fu, Hui Liu, Yinghui Wang, Meijuan Zhou, Zhenhua Ding, Zhijun Feng

“…We conducted our analysis using two-stage least squares (2SLS) regression integrated with inverse variance weighted (IVW) methods to address potential endogeneity and strengthen our causal inference. <b>Results:</b> we found that unfavorable lipid profiles were causally linked to increased TL (<i>p</i> < 0.05). …”
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