A Novel Secondary-Outcome Approach to Estimating Primary Causal Effects with Unmeasured Confounders

When Screening Misleads: A Robust Mendelian Randomization Test for Reliable Causal Discovery

Partially Functional Dynamic Backdoor Diffusion-Based Causal Model

Causal Bayesian Network Learning: Application to the Causal Analysis of Masticatory Function and Coronary Heart Disease in Older Adults

clike: Colocalizationby LD-informedCosine KernelEmbedding

Tight Causal Bounds on Rare Outcomes under Multiple Biases in Test-Negative Design

Generalized Win Fraction Regression for Composite Survival Endpoints

FedCox：联邦式局部自适应Cox比例风险模型

Robust Variable Selection in High-Dimensional Survival Analysis

Identifying Shared Prognostic Genes in Pan-Cancer Studies: A Survival Analysis Approach with a Locally Weighted Group-Penalized Accelerated Failure Time Model

Semiparametric Estimation and Inference for Partially Linear Transformation Models via Deep Neural Networks with Interval-Censored Survival Data

Semiparametric Model Averaging Prediction in Nested Case-Control Studies

Differential Inference for Single-Cell RNA-Sequencing

Gene Set Mediation Analysis in High-Dimensional Epigenetic Studies

Block Empirical Likelihood Inference for Longitudinal Generalized Partially Linear Single-Index Models

Rare Coding and Noncoding Variants Map 1,342 Diseases and Biomarkers in 490,549 Whole Genomes

Efficient Causal Inference for Survival Outcomes with External Controls via Machine Learning Methods

Joint Inference of SCRNA-Seq and SCATAC-Seq for Cell-Type Specific Cis-Regulatory Effects (J-RACE)

用于整合阿尔茨海默病多模态数据的函数型-向量贝叶斯层次因子回归模型

High-Dimensional Covariate-Dependent Discrete Graphical Models and Dynamic Ising Models

基于距离协方差的函数型条件独立检验与图结构学习

A Functional Latent Space Model for Time-varying Networks with Applications to Clinical Outcomes Data

Multiplex Gray and White Matter Networks in Autism Spectrum Disorder: Differential Topological Alterations and Transcriptomic Associations

组学数据非线性降维与联合分析： 一种新的快速无需调参的算法