Zhi Geng

Identification of Subgroup Causal Effects in Randomized Trials under Nonignorable Missingness of Covariates and Outcome Variables Simultaneously

Yanfei Jin, Kaixuan Fan, Xiao Yan, Mengchen Shi et autres

Quantifying individual risk for binary outcomes

Peng Wu, Peng Ding, Zhi Geng, Yue Liu

Abstract Understanding treatment effect heterogeneity is crucial for reliable decision-making in treatment evaluation and selection. The conditional average treatment effect (CATE) is widely used to capture treatment effect heterogeneity induced by observed covariates and to design individualized treatment policies. However, it is …

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Assessing interactive causes of an occurred outcome due to two binary exposures

Shanshan Luo, Wei Li, X Wang, Shaojie Wei et autres

In contrast to evaluating treatment effects, causal attribution analysis focuses on identifying the key factors responsible for an observed outcome. For two binary exposure variables and a binary outcome variable, researchers need to assess not only the likelihood that an observed outcome …

cn (code pays fourni par la source)

Effects of 40-Hz transcranial alternating current stimulation on cognition and neural markers in Alzheimer’s disease: a randomized, sham-controlled trial

Miao Fang, Yibing Yan, Wenqian Song, Zhi Geng et autres

BACKGROUND: Alzheimer’s disease (AD) is characterized by cognitive decline. Gamma-frequency (40 Hz) transcranial alternating current stimulation (tACS) may enhance cognition, although its efficacy and neural mechanisms remain unclear. This study evaluated whether 40-Hz tACS improves cognition in individuals with AD and explored …

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Demystifying inconsistent two-sample mendelian randomization estimations using selection diagram

Lei Hou, Yuanyuan Yu, Zhi Geng, Fuzhong Xue et autres

Two-Sample Mendelian Randomization (TSMR) analysis is a widely used method for inferring causal effect in the presence of unmeasured confounding. However, causal inferences may be biased if the distributions of key variables (e.g., exposures, outcomes, and confounders) differ across populations. Such discrepancies …

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Acute Respiratory Distress Syndrome in Trauma 2007–2019: Comprehensive Patient and Center-Level Retrospective Cohort Analysis

Zhi Geng, Allyson M. Hynes, Alexis M. Moren, Jason D. Christie et autres

OBJECTIVES: Acute respiratory distress syndrome (ARDS) represents a significant complication in trauma patients. Yet the epidemiology of ARDS in trauma remains incompletely characterized. We sought to define trends in ARDS frequency and the effect of temporal, patient, and center-level factors on outcomes …

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Mechanistic study of Alzheimer's disease with behavioral and psychological symptoms based on electroencephalography microstates

Miao Fang, Zhi Geng, Xuerui Pang, Chaoyi Yang et autres

BackgroundBehavioral and psychological symptoms of dementia (BPSD) are common in Alzheimer's disease (AD), yet their mechanisms remain unclear.ObjectiveWe aim to explore the possible neurophysiological mechanisms of BPSD using high temporal resolution electroencephalography (EEG) microstate technology, laying the foundation for clinical evaluation and …

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Covariate Balancing Value Estimation for Optimal Individualized Treatment Rules

Yue Zhang, Shanshan Luo, Zhi Geng, Yangbo He

Learning an optimal individualized treatment rule depends on reliable value comparisons across the candidate class. Standard doubly robust estimators are consistent when either the propensity score or outcome regression model is correctly specified, but they do not directly control the remaining bias …

Single-time fertilization with controlled release blended fertilizer optimizes soil nitrogen distribution and root characteristics to increase conventional japonica rice (Oryza sativa L.) grain yield and nitrogen use efficiency

Yuhui Wang, Jie Sun, Shen Gao, Bin He et autres

• Single-time fertilization of CRBF optimized soil N distribution and maintained the soil NH 4 + -N concentration to synchronize rice N requirement. • Single-time fertilization of CRBF improved root biomass and shaping root morphology. • Single-time fertilization of CRBF increased rice …

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Confounded Causal Imitation Learning with Instrumental Variables

Yan Zeng, Feng Xie, Libo Huang, Peng Wu et autres

Imitation learning from demonstrations usually suffers from the confounding effects of unmeasured variables (i.e., unmeasured confounders) on the states and actions. If ignoring them, a biased estimation of the policy would be entailed. To break up this confounding gap, in this paper, …

月面基地内利用パートナーロボットのダンスパフォーマンスのステップ創出

海斗 井上, Zhi Geng, Tadashi Komatsu

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Multiply robust causal inference in the presence of an error-prone treatment

Shaojie Wei, Qinpeng He, Zhi Geng

Numerous estimation procedures employed in causal inference often rely on accurately measured data. However, the prevalence of measurement errors in practical studies may yield biased effect estimates. It is common to employ validation samples to rectify such biases in the measurement error …

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