Non-adherence in randomised controlled trials: empirical comparison of treatment policy and efficacy estimands using individual participant data [0.03%]
基于个体患者数据的随机对照试验依从性不良的行为学分析：治疗政策与疗效假设的经验比较研究
Mohammod B A Mostazir,Joshua E J Buckman,Nicola Wiles et al.
Mohammod B A Mostazir et al.
Rasch models to assess the impact of lack of measurement invariance and reveal hidden differences in anxiety and depression between groups and over time in patients with early-stage melanoma or breast cancer using the RespOnse Shift ALgorithm at the Item level (ROSALI) [0.03%]
使用RespOnse Shift ALgorithm at the Item level (ROSALI)方法评估测量不变性不足对早期黑色素瘤或乳腺癌患者组间和随时间变化的焦虑和抑郁隐藏差异的影响的Rasch模型
Yseulys Dubuy,Myriam Blanchin,Bastien Perrot et al.
Yseulys Dubuy et al.
Sample size estimation for local hypothesis testing of functional data in medical studies: method comparison, recommendations, and a web application [0.03%]
医学研究中功能数据局部假设检验的样本量估计：方法比较、推荐和网络应用软件
Mohammad Reza Seydi,Johan Strandberg,Todd C Pataky et al.
Mohammad Reza Seydi et al.
Jesper Sundell,Ylva Wahlquist,Kristian Soltesz
Jesper Sundell
Human-AI collaboration enhances the performance of large language models in risk of bias assessment [0.03%]
人机协作可提升大语言模型在偏倚风险评估中的性能
Yingyin Li,Fengchun Yang,Meng Wu et al.
Yingyin Li et al.
Assessing the impact of variance heterogeneity and misspecification in mixed-effects location-scale models [0.03%]
评估方差异质性和规范错误在混合效应位置刻度模型中的影响
Vincent Jeanselme,Marco Palma,Jessica Barrett
Vincent Jeanselme
Purpose: Linear Mixed Model (LMM) is a common statistical approach to model the relation between exposure and outcome while capturing individual variability through random effects. However, this model assumes the homogene...
Approaches in analyzing predictors of trial failure: a scoping review and meta-epidemiological study [0.03%]
系统综述和元流行病学研究评估试验失败预测因素的分析方法
Aleksa Jovanovic,Stojan Gavric,Fabio Dennstädt et al.
Aleksa Jovanovic et al.
Background: Although there are numerous studies exploring predictors of clinical trial failure, no comprehensive review of their methodological specificities and findings exists. We performed a scoping review with the aim...
Multiple linear regression modeling with values below a lower limit of quantification - a statistical method comparison [0.03%]
一种新的用于包含检测限以下值的多元线性回归方法及与其他统计方法的比较研究
Lorena Hafermann,Isao Yokota,Linda Kalski et al.
Lorena Hafermann et al.
Background: Missing values occur in almost all real-world medical data. Sometimes, more information is available for the missing values due to technical measurement limits. This was also the case for some sports medical d...
PAtient-Centric epilepsy clinical trIal model For Improved health outcomes using Cannabidiol (PACIFIC study)-a methodology for developing patient-centred clinical trials in rare epilepsy syndromes [0.03%]
以患者为中心的罕见癫痫综合征临床试验开发方法——大麻二酚(CBD)治疗难治性癫痫伴严重发育障碍和/或神经变性(PACIFIC研究)健康结局改善的研究模型
Linda Truong,Tegan Stettaford,Katrina Watt et al.
Linda Truong et al.
Background: Clinical trials for rare epilepsies face substantial methodological and ethical challenges. Small and heterogeneous populations, coupled with limited validated outcome measures, often render traditional design...
Quantifying selection bias due to unobserved patients in pharmacoepidemiologic studies of severe COVID-19 cohorts [0.03%]
量化药物流行病学研究中由于未观察到的患者而产生的选择偏差
Marleen Bokern,Christopher T Rentsch,Jennifer Quint et al.
Marleen Bokern et al.