Journal of Causal Inference
| 短名 | J. Causal Inference |
| Journal Impact | 1.55 |
| 国际分区 | SOCIAL SCIENCES, MATHEMATICAL METHODS(Q2) |
| 期刊索引 | SCI Q3中科院 4 区 |
| ISSN | 2193-3677, 2193-3685 |
| h-index | 13 |
| 国内分区 | 医学(4区)医学数学跨学科应用(4区)医学社会科学数理方法(4区) |
JOURNAL OF CAUSAL INFERENCE (JCI) 发表有关使用定量工具研究因果关系的学科范围内的理论和应用因果研究的论文。
期刊主页| 涉及主题 | 计算机科学数学统计经济计量经济学医学病理机器学习内科学人工智能哲学认识论生物因果推理物理心理学估计员外科数理经济学协变量推论工程类量子力学 |
| 出版信息 | 出版商: Walter de Gruyter GmbH，出版周期: ，期刊类型: journal |
| 基本数据 | 创刊年份: 2018，原创研究文献占比: 100.00%，自引率:11.80%， Gold OA占比: 98.46% |
| 平均审稿周期 | 网友分享经验：86 Weeks |
期刊引文格式
这些示例是对学术期刊文章的引用，以及它们应该如何出现在您的参考文献中。
并非所有期刊都按卷和期组织其已发表的文章，因此这些字段是可选的。有些电子期刊不提供页面范围，而是列出文章标识符。在这种情况下，使用文章标识符而不是页面范围是安全的。
只有1位作者的期刊
有2位作者的期刊
有3位作者的期刊
有5位以上作者的期刊
书籍引用格式
以下是创作和编辑的书籍的参考文献的示例。
学位论文引用格式
网页引用格式
这些示例是对网页的引用，以及它们应该如何出现在您的参考文献中。
专利引用格式
最新文章
Mediation analyses for the effect of antibodies in vaccination
2024-1-1
Neyman meets causal machine learning: Experimental evaluation of individualized treatment rules
2024-1-1
Doubly weighted M-estimation for nonrandom assignment and missing outcomes
2024-1-1
A phenomenological account for causality in terms of elementary actions
2024-1-1
Detecting treatment interference under K-nearest-neighbors interference
2024-1-1
Interactive identification of individuals with positive treatment effect while controlling false discoveries
2024-1-1
Current philosophical perspectives on drug approval in the real world
2024-1-1
Evaluating Boolean relationships in Configurational Comparative Methods
2024-1-1
An optimal transport approach to estimating causal effects via nonlinear difference-in-differences
2024-1-1
Optimal allocation of sample size for randomization-based inference from 2<sup> <i>K</i> </sup> factorial designs
2024-1-1
Direct, indirect, and interaction effects based on principal stratification with a binary mediator
2024-1-1
Bias formulas for violations of proximal identification assumptions in a linear structural equation model
2024-1-1
Conditional generative adversarial networks for individualized causal mediation analysis
2024-1-1
Potential outcomes and decision-theoretic foundations for statistical causality: Response to Richardson and Robins
2024-1-1
Estimation of network treatment effects with non-ignorable missing confounders
2024-1-1
Comparison of open-source software for producing directed acyclic graphs
2024-1-1
Foundations of causal discovery on groups of variables
2024-1-1
Energy balancing of covariate distributions
2024-1-1
Nonparametric estimation of conditional incremental effects
2024-1-1
Regression(s) discontinuity: Using bootstrap aggregation to yield estimates of RD treatment effects
2024-1-1
Sharp bounds for causal effects based on Ding and VanderWeele's sensitivity parameters
2024-1-1
Improved sensitivity bounds for mediation under unmeasured mediator–outcome confounding
2024-1-1
Quantifying the quality of configurational causal models
2024-1-1
Design-based RCT estimators and central limit theorems for baseline subgroup and related analyses
2024-1-1
From urn models to box models: Making Neyman's (1923) insights accessible
2024-1-1
Potential outcome and decision theoretic foundations for statistical causality
2023-1-1
Randomized graph cluster randomization
2023-1-1
Double machine learning and automated confounder selection: A cautionary tale
2023-1-1
Adaptive normalization for IPW estimation
2023-1-1
Precise unbiased estimation in randomized experiments using auxiliary observational data
2023-1-1
Sensitivity analysis for causal decomposition analysis: Assessing robustness toward omitted variable bias
2023-1-1
Instrumental variable regression via kernel maximum moment loss
2023-1-1
Testing for treatment effect twice using internal and external controls in clinical trials
2023-1-1
Identification of in-sample positivity violations using regression trees: The PoRT algorithm
2023-1-1
All models are wrong, but which are useful? Comparing parametric and nonparametric estimation of causal effects in finite samples
2023-1-1
Minimally capturing heterogeneous complier effect of endogenous treatment for any outcome variable
2023-1-1
Attributable fraction and related measures: Conceptual relations in the counterfactual framework
2023-1-1
Exploiting neighborhood interference with low-order interactions under unit randomized design
2023-1-1
Bounding the probabilities of benefit and harm through sensitivity parameters and proxies
2023-1-1
Randomization-based, Bayesian inference of causal effects
2023-1-1
Causality and independence in perfectly adapted dynamical systems
2023-1-1
On the pitfalls of Gaussian likelihood scoring for causal discovery
2023-1-1
Personalized decision making – A conceptual introduction
2023-1-1
Conditional average treatment effect estimation with marginally constrained models
2023-1-1
Quantitative probing: Validating causal models with quantitative domain knowledge
2023-1-1
2D score-based estimation of heterogeneous treatment effects
2023-1-1
Heterogeneous interventional effects with multiple mediators: Semiparametric and nonparametric approaches
2023-1-1
Matched design for marginal causal effect on restricted mean survival time in observational studies
2023-1-1
Robust variance estimation and inference for causal effect estimation
2023-1-1
Confidence in causal inference under structure uncertainty in linear causal models with equal variances
2023-1-1
帮你贴心管理全部的文献
研飞ivySCI，高效的论文管理
投稿经验分享
分享我的经验，帮你走得更远