Improved two-stage estimation to adjust for treatment switching in randomised trials: g-estimation to address time-dependent confounding [0.03%]
改进的两阶段估计以校正随机试验中的治疗转换：利用g估计解决时间依赖性混杂因素的问题
N R Latimer,I R White,K Tilling et al.
N R Latimer et al.
In oncology trials, control group patients often switch onto the experimental treatment during follow-up, usually after disease progression. In this case, an intention-to-treat analysis will not address the policy question of interest - tha...
Randomized Controlled Trial
Statistical methods in medical research. 2020 Oct;29(10):2900-2918. DOI:10.1177/0962280220912524 2020
Clustering with varying risks of false assignments in discrete latent variable model [0.03%]
离散潜变量模型中误分类风险不同的聚类问题研究
Donghwan Lee,Dongseok Choi,Youngjo Lee
Donghwan Lee
In clustering problems, to model the intrinsic structure of unlabeled data, the latent variable models are frequently used. These model-based clustering methods often provide a clustering rule minimizing the total false assignment error. Ho...
Yuan Feng,Luo Xiao,Cai Li et al.
Yuan Feng et al.
Ultrasound growth measurements are monitored to evaluate if a fetus is growing normally compared with a defined standard chart at a specified gestational age. Using data from the Fetal Growth Longitudinal Study of the INTERGROWTH-21st proje...
Comparing two counterfactual-outcome approaches in causal mediation analysis of a multicategorical exposure: An application for the estimation of the effect of maternal intake of inhaled corticosteroids doses on birthweight [0.03%]
一种多分类暴露的因果中介分析中的两种反事实结果方法的比较：估计母亲吸入皮质类固醇剂量对体重影响的应用
Mariia Samoilenko,Nadia Arrouf,Lucie Blais et al.
Mariia Samoilenko et al.
Although medical research frequently involves an exposure variable with three or more discrete levels, detailed presentations of mediation techniques for dealing with multicategorical (multilevel) exposures are sparse. In this paper, we stu...
A threshold linear mixed model for identification of treatment-sensitive subsets in a clinical trial based on longitudinal outcomes and a continuous covariate [0.03%]
基于纵向结局和连续协变量的临床试验中识别治疗敏感亚群的阈值线性混合模型
Xinyi Ge,Yingwei Peng,Dongsheng Tu
Xinyi Ge
Identification of a subset of patients who may be sensitive to a specific treatment is an important problem in clinical trials. In this paper, we consider the case where the treatment effect is measured by longitudinal outcomes, such as qua...
Randomized Controlled Trial
Statistical methods in medical research. 2020 Oct;29(10):2919-2931. DOI:10.1177/0962280220912772 2020
Propensity score-based methods for causal inference in observational studies with non-binary treatments [0.03%]
基于倾向值的非二元处理观测量数据因果推断方法
Shandong Zhao,David A van Dyk,Kosuke Imai
Shandong Zhao
Peter C Austin
Peter C Austin
Performance of propensity score matching to estimate causal effects in small samples [0.03%]
小样本中利用倾向值匹配估计因果效应的性能评估
Anais Andrillon,Romain Pirracchio,Sylvie Chevret
Anais Andrillon
Asymptotic permutation tests for coefficients of variation and standardised means in general one-way ANOVA models [0.03%]
一般方差分析模型中变异性系数和标准化均值的渐近型排列检验
Markus Pauly,Łukasz Smaga
Markus Pauly
Coefficients of variations are unit-free measures that can, for example, be used to compare the variability of different samples. To this end, we study inference methods for them as well as their reciprocal given by standardised means in ge...
K-sample omnibus non-proportional hazards tests based on right-censored data [0.03%]
基于右侧缺失数据的K样本非比例风险检验总方法
Malka Gorfine,Matan Schlesinger,Li Hsu
Malka Gorfine
This work presents novel and powerful tests for comparing non-proportional hazard functions, based on sample-space partitions. Right censoring introduces two major difficulties, which make the existing sample-space partition tests for uncen...