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J

Journal of Causal Inference

IF1.8
论文数18
被引数
期刊论文 18
发表时间
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Generalized coarsened confounding for causal effects: a large-sample framework广义粗化混淆的因果效应：一个大样本框架
deleteJournal of Causal Inference
IF1.8
delete2026-01-27
delete0
deleteOAAI
deleteGhosh, Debashis; Wang, Lei
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Discovery of critical thresholds in mixed exposures and estimation of policy intervention effects在混合暴露中临界阈值的发现及政策干预效应的估计
deleteJournal of Causal Inference
IF1.8
delete2026-01-23
delete0
deleteOAAI
deleteMcCoy, David B.; Hubbard, Alan; van der Laan, Mark; Schuler, Alejandro
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Semiparametric discovery and estimation of interaction in mixed exposures using stochastic interventions使用随机干预对混合暴露中的交互作用进行半参数发现和估计
deleteJournal of Causal Inference
IF1.8
delete2026-01-23
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PREAI
deleteMcCoy, David B.; Hubbard, Alan; van der Laan, Mark; Schuler, Alejandro
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Regression to the mean in regression discontinuity design: bias and sensitivity analysis回归不稳定性在回归不连续设计中的偏差和敏感性分析
deleteJournal of Causal Inference
IF1.8
delete2026-01-23
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PREAI
deleteKarmakar, Bikram
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Assessing surrogate heterogeneity in real world data using meta-learners使用元学习器评估真实世界数据中的代理异质性
deleteJournal of Causal Inference
IF1.8
delete2026-01-23
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deleteOAAI
deleteKnowlton, Rebecca; Parast, Layla
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A diagnostic to find and help combat stochastic positivity issues - with a focus on continuous treatments用于发现和帮助应对随机阳性问题的一种诊断方法——侧重于连续治疗
deleteJournal of Causal Inference
IF1.8
delete2026-01-23
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PREAI
deleteRing, Katharina; Schomaker, Michael
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A causal framework for the self-controlled case series design针对自我对照病例系列设计的因果框架
deleteJournal of Causal Inference
IF1.8
delete2026-01-23
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PREAI
deleteEtievant, Lola; Gail, Mitchell H.; Follmann, Dean
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Bridging binarization: causal inference with dichotomized continuous exposures二值化桥梁：二分类连续暴露的因果推断
deleteJournal of Causal Inference
IF1.8
delete2026-01-23
delete0
PREAI
deleteLee, Kaitlyn; Hubbard, Alan; Schuler, Alejandro
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Estimating average causal effects with incomplete exposure and confounders在不完全暴露和混杂因素下估计平均因果效应
deleteJournal of Causal Inference
IF1.8
delete2026-01-23
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PREAI
deleteWen, Lan; McGee, Glen
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Adaptive-TMLE for the average treatment effect based on randomized controlled trial augmented with real-world data基于随机对照试验并补充真实世界数据的自适应-TMLE的平均处理效应
deleteJournal of Causal Inference
IF1.8
delete2026-01-23
delete0
PREAI
deletevan der Laan, Mark; Qiu, Sky; Tarp, Jens Magelund; van der Laan, Lars
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Estimation of time-varying treatment effects using marginal structural models dependent on partial treatment history利用依赖于部分治疗史的分层结构模型估计时变治疗效应
deleteJournal of Causal Inference
IF1.8
delete2026-01-23
delete0
PREAI
deleteSeya, Nodoka; Taguri, Masataka; Ishii, Takeo
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A counterfactual analysis of the dishonest casino一个关于不诚实赌场的反事实分析
deleteJournal of Causal Inference
IF1.8
delete2026-01-23
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PREAI
deleteHaugh, Martin B.; Singal, Raghav
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Causal generalized linear models via Pearson risk invariance基于皮尔逊风险不变性的因果广义线性模型
deleteJournal of Causal Inference
IF1.8
delete2026-01-23
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deleteOAAI
deletePolinelli, Alice; Vinciotti, Veronica; Wit, Ernst C.
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Applying the Causal Roadmap to longitudinal national registry data in Denmark: A case study of second-line diabetes medication and dementia将因果路线图应用于丹麦的纵向国家注册数据: 二线糖尿病药物和痴呆症的案例研究
deleteJournal of Causal Inference
IF1.8
delete2025-10-30
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PREAI
deleteNance, Nerissa; Mertens, Andrew; Gerds, Thomas Alexander; Wang, Zeyi; Torp-Pedersen, Christian; Van Der Laan, Mark; Kvist, Kajsa; Lange, Theis; Zareini, Bochra; Petersen, Maya L.
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Experiment-selector cross-validated targeted maximum likelihood estimator for hybrid RCT-external data studies
deleteJournal of Causal Inference
IF1.8
delete2025-10-27
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PREAI
deleteDang, Lauren Eyler; Tarp, Jens Magelund; Abrahamsen, Trine Julie; Kvist, Kajsa; Buse, John B.; Petersen, Maya; van der Laan, Mark
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Causal additive models with smooth backfitting因果加性模型与平滑交替最小二乘法
deleteJournal of Causal Inference
IF1.8
delete2025-10-16
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PREAI
deleteMorville, Asger B.; Park, Byeong U.
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Spillover detection for donor selection in synthetic control models合成控制模型中用于捐赠者选择的外溢检测
deleteJournal of Causal Inference
IF1.8
delete2025-10-08
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PREAI
deleteO'Riordan, Michael; Gilligan-Lee, Ciaran M.
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Valid causal inference with unobserved confounding in high-dimensional settings高维设置下具有未观测混杂因素的有效因果推断
deleteJOURNAL OF CAUSAL INFERENCE
IF0
delete2025-09-17
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deleteOAAI
deleteMoosavi, Niloofar; Gorbach, Tetiana; de Luna, Xavier
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