Results 81 to 90 of about 98,771 (295)

Estimation of the Marginal Causal Risk Ratio in Survival Data Using Inverse Probability Treatment Weighting (IPTW)

مجله اپیدمیولوژی ایران, 2018
One of the traditional methods used for the analysis of survival data is the Cox regression technique. This method calculates the conditional risk ratio.
N, , , , H Poustchi, M Yaseri
doaj  

Cross‐Scale Hierarchical Targeted Delivery System Based on Small‐Scale Magnetic Robots

Advanced Robotics Research, EarlyView.
This article reviews a cross‐scale hierarchical targeted delivery system that integrates magnetic continuum robots and magnetic microrobots. By combining rapid long‐range navigation with precise microscale targeting, the system overcomes key limitations of single‐scale approaches.
Junjian Zhou, Zhiqiang Chen, Yuanbiao Ma, Zhiqiang Tang, Qianqian Wang   +4 more
wiley   +1 more source

Application of Causal Forest Model to Examine Treatment Effect Heterogeneity in Substance Use Disorder Psychosocial Treatments

International Journal of Methods in Psychiatric Research
Objectives Heterogeneity of treatment effect (HTE) is a concern in substance use disorder (SUD) treatments but has not been rigorously examined. This exploratory study applied a causal forest approach to examine HTE in psychosocial SUD treatments ...
Ryoko Susukida, Masoumeh Amin‐Esmaeili, Elena Badillo‐Goicoechea, Trang Q. Nguyen, Elizabeth A. Stuart, Michael Rosenblum, Kelly E. Dunn, Ramin Mojtabai   +7 more
doaj   +1 more source

Uncovering treatment effect heterogeneity in pragmatic gerontology trials

Experimental Gerontology
Detecting heterogeneity in treatment response enriches the interpretation of gerontologic trials. In aging research, estimating the intervention’s effect on clinically meaningful outcomes poses analytical challenges when outcomes are truncated by death ...
Changjun Li, Heather Allore, Michael O. Harhay, Fan Li, Guangyu Tong   +4 more
doaj   +1 more source

Unveiling the Potential of Robustness in Selecting Conditional Average Treatment Effect Estimators

Advances in Neural Information Processing Systems 37
The growing demand for personalized decision-making has led to a surge of interest in estimating the Conditional Average Treatment Effect (CATE). Various types of CATE estimators have been developed with advancements in machine learning and causal inference.
Yiyan Huang, Cheuk Hang Leung, Siyi Wang, Yijun Li 0005, Qi Wu 0009   +4 more
openaire   +3 more sources

GPR124 Alleviates Blood–Brain Barrier Disruption by Enhancing Microvascular Endothelial Function after Traumatic Brain Injury

Advanced Science, EarlyView.
Our study reveals the protective role of GPR124 in maintaining BBB integrity and promoting neurological recovery following TBI. It makes a significant contribution by uncovering a novel molecular interaction between GPR124 and FGFBP1 and linking this to activation of the Wnt/β‐catenin signaling pathway in vascular repair mechanisms.
Chen Wang, Lin Cai, Qiuyuan Gong, Yang Yang, Yuqing Liang, Xinyu Niu, Lai Wei, Ze Liu, Shengju Wu, Yinghui Men, Yaohui Tang, Jun Ding, Hengli Tian, Hao Chen   +13 more
wiley   +1 more source

Causal Clustering for Conditional Average Treatment Effects Estimation and Subgroup Discovery

2025 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI)
Estimating heterogeneous treatment effects is critical in domains such as personalized medicine, resource allocation, and policy evaluation. A central challenge lies in identifying subpopulations that respond differently to interventions, thereby enabling more targeted and effective decision-making.
Zilong Wang, Turgay Ayer, Shihao Yang
openaire   +2 more sources

High Humidity Exacerbates Psoriasiform Skin Disease Relapse by Increasing Tissue‐Resident Memory T Cells via Altering Skin Microbiota

Advanced Science, EarlyView.
We demonstrated that high humidity worsened psoriasis relapse in murine psoriasiform skin inflammation by increasing skin‐resident memory CD8+ cells via upregulating IL‐15Rα on keratinocytes. The increases in IL‐15Rα and memory CD8+ cells were attributed to S. nepalensis and its metabolite ADMA in skin exposed to high humidity.
Chun‐Ling Liang, Yuchao Chen, Chuanjian Lu, Huazhen Liu, Fenglian Qin, Sisi Dai, Feifei Qiu, Haiming Chen, Weihui Lu, Jonathan S. Bromberg, Zhenhua Dai   +10 more
wiley   +1 more source

Estimating Conditional Average Treatment Effects via Sufficient Representation Learning

CoRR
Estimating the conditional average treatment effects (CATE) is very important in causal inference and has a wide range of applications across many fields. In the estimation process of CATE, the unconfoundedness assumption is typically required to ensure the identifiability of the regression problems.
Pengfei Shi, Wei Zhong, Xinyu Zhang, Ningtao Wang, Xing Fu, Weiqiang Wang 0002, Yin Jin   +6 more
openaire   +3 more sources

Treatment Effect Heterogeneity in Theory and Practice [PDF]

Instrumental Variables (IV) methods identify internally valid causal effects for individuals whose treatment status is manipulable by the instrument at hand. Inference for other populations requires some sort of homogeneity assumption.
Joshua D. Angrist
core