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Liang Du

Sichuan University
H指数:34
被引数:5,111

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An imputation study shows that missing outcome data can substantially bias pooled estimates in systematic reviews of patient-reported outcomes

一项插补研究显示,患者报告结局的系统评价中,缺失结局数据可显著偏倚合并估计值。

2025-12-270
OAAI
A Systematic Survey of the Optimal Strategy for Dealing With Missing Binary Outcomes in Simulation Studies of Randomized Controlled Trials

随机对照试验模拟研究中处理缺失二分类结局数据的最佳策略的系统综述

2025-08-260
PRE
Interpretable machine learning leverages proteomics to improve cardiovascular disease risk prediction and biomarker identification

可解释机器学习利用蛋白质组学来改善心血管疾病风险预测和生物标志物识别

2025-05-190
OA
Predictors of para-aortic lymph node metastasis based on pathological diagnosis via surgical staging in patients with locally advanced cervical cancer: A multicenter study

基于手术分期病理诊断的局部晚期宫颈癌患者腹主动脉旁淋巴结转移预测因子:一项多中心研究

2025-04-010
OAAI