Optimal Designs in Open-Cohort Longitudinal Cluster Randomized Trials With a Continuous Outcome [0.03%]
开放式队列纵向集群随机试验的连续结局的最优设计方法研究
Jingxia Liu,Fan Li,Xuping Luo et al.
Jingxia Liu et al.
Although sample size calculation for open-cohort longitudinal cluster randomized trials (LCRTs) under a fixed design framework was developed by Kasza et al., unifying the closed-cohort and repeated cross-sectional sampling provided in Hoope...
A Novel Secondary-Outcome Approach to Estimating Primary Causal Effects With Unmeasured Confounders [0.03%]
具有未测量混淆因素的主要因果效应的新型次要结果估计方法
Desu Kong,Minghao Chen,Yingchun Zhou
Desu Kong
Unmeasured confounding remains a fundamental challenge permeating contemporary causal inference, substantially impeding the valid estimation of treatment effects. A rigorous identification strategy is presented for estimating average causal...
The DeepJoint Algorithm: An Innovative Approach for Studying the Longitudinal Evolution of Quantitative Mammographic Density and Its Association With Screen-Detected Breast Cancer Risk [0.03%]
一种创新算法：纵向分析定量乳腺密度及其与乳腺癌筛查检出风险相关性的新方法
Manel Rakez,Julien Guillaumin,Aurelien Chick et al.
Manel Rakez et al.
High mammographic density is a well-known risk factor for breast cancer and reduces the sensitivity of mammography-based screening. While automated machine and deep learning-based methods provide more consistent and precise measurements com...
A Comparison of Methods for Treatment Selection in Seamless Phase II/III Design [0.03%]
适应无缝二期/三期临床试验设计的治疗选择方法比较研究
Jialuo Liu,Lulu Wang,Dong Xi
Jialuo Liu
Seamless phase II/III design aims to integrate a phase II trial for treatment selection and a phase III confirmatory trial. It offers valuable flexibility through mid-trial modifications, potentially optimizing resource utilization and redu...
Comparative Study
Biometrical journal. Biometrische Zeitschrift. 2026 Jun;68(3):e70136. DOI:10.1002/bimj.70136 2026
Causal Effect Estimation With TMLE: Handling Missing Data and Near Violations of Positivity [0.03%]
利用TMLE估计因果效应：处理缺失数据和接近 positivity 违背的情况
Christoph Wiederkehr,Christian Heumann,Michael Schomaker
Christoph Wiederkehr
We evaluate the performance of targeted maximum likelihood estimation (TMLE) for estimating the average treatment effect in missing data scenarios under varying levels of positivity violations. We employ model- and design-based simulations,...
Identifying the Best Predictive Biomarker in Pharmacogenomics Through Multiple Comparisons With the Best [0.03%]
通过最佳比较法在药物基因组学中识别最佳预测生物标志物
Song Zhai,Judong Shen,Jason C Hsu et al.
Song Zhai et al.
Single gene mutations are increasingly being adopted as clinical biomarkers for the optimal application of various therapeutic areas (such as cancer and cardiovascular disease). A single nucleotide polymorphism (SNP), the most common type o...
Comparative Study
Biometrical journal. Biometrische Zeitschrift. 2026 Apr;68(2):e70130. DOI:10.1002/bimj.70130 2026
Estimating the Size of a Population Through Repeated Sampling: A Survey Sampling View on Capture-Recapture Procedures [0.03%]
重复抽样估计总体规模：一种关于捕捉-标记-重捕程序的调查抽样观点
Nurzhan Sapargali,Göran Kauermann
Nurzhan Sapargali
Capture-recapture methods estimate the size of an elusive population based on repeated partial observations. In closed populations, estimators are typically constructed by modeling either the probability of capture frequencies or entire cap...
Estimate Time-Varying Exposure Effects via Ensemble Learning-Based Marginal Structural Model With Application to Adolescent Cognitive Development Study [0.03%]
基于集成学习的边际结构模型的时变暴露效应估计及其在青少年认知发展研究中的应用
Zhiwei Zhao,Chixiang Chen,Shuo Chen
Zhiwei Zhao
Evaluating the effects of time-varying exposures is essential for longitudinal studies. The effect estimation becomes increasingly challenging when dealing with hundreds of time-dependent confounders. We propose a Marginal Structure Ensembl...
Regression Analysis of Arbitrarily Censored and Left-Truncated Data Under the Proportional Odds Model [0.03%]
比例优势回归分析及其在左截尾数据下的删失数据分析
Lu Wang,Lianming Wang
Lu Wang
In survival analysis, the exact times of an event of interest may not always be observed due to the nature of the event and the study design for all subjects but are usually partially observed subject to censoring and truncation in many rea...
Inferring on Joint Associations From Marginal Associations and a Reference Sample [0.03%]
边际关联和参考样本中的联合关联推理
Tzviel Frostig,Ruth Heller
Tzviel Frostig
We present a method to infer on joint regression coefficients obtained from marginal regressions using a reference panel. This type of scenario is common in genetic fine-mapping, where the estimated marginal associations are reported in gen...