Weighted log-rank tests for clustered censored data: Saddlepoint p-values and confidence intervals [0.03%]
加权log-rank检验的改进：鞍点逼近计算p值和置信区间
Abd El-Raheem M Abd El-Raheem,Ehab F Abd-Elfattah
Abd El-Raheem M Abd El-Raheem
Clustered data with censored failure times frequently arise in clinical trials and tumorigenicity studies. For such data, the common and extensively used class of two-sample tests is the weighted log-rank tests. In this article, a double sa...
Experimental design and sample size considerations in longitudinal magnetic resonance imaging-based biomarker detection for multiple sclerosis [0.03%]
自身免疫性疾病的纵向磁共振成像生物标志物检出的实验设计和样本量估计研究——多发性硬化病为例
Menghan Hu,Matthew K Schindler,Blake E Dewey et al.
Menghan Hu et al.
Several modeling approaches have been developed to quantify differences in multiple sclerosis lesion evolution on magnetic resonance imaging to identify the effect of treatment on disease progression. These studies have limited clinical app...
Yishu Wei,Lei Liu,Xiaogang Su et al.
Yishu Wei et al.
In clinical studies, the treatment effect may be heterogeneous among patients. It is of interest to identify subpopulations which benefit most from the treatment, regardless of the treatment's overall performance. In this study, we are inte...
Exposure-response modelling approaches for determining optimal dosing rules in children [0.03%]
儿童最佳给药剂量规则的确立过程中的暴露反应建模方法
Ian Wadsworth,Lisa V Hampson,Björn Bornkamp et al.
Ian Wadsworth et al.
Within paediatric populations, there may be distinct age groups characterised by different exposure-response relationships. Several regulatory guidance documents have suggested general age groupings. However, it is not clear whether these c...
Emil A Stoltenberg,Hedvig Me Nordeng,Eivind Ystrom et al.
Emil A Stoltenberg et al.
In the statistical literature, the class of survival analysis models known as cure models has received much attention in recent years. Cure models seem not, however, to be part of the statistical toolbox of perinatal epidemiologists. In thi...
Asymptotic versus exact methods in the analysis of contingency tables: Evidence-based practical recommendations [0.03%]
渐近方法与精确方法在列联表分析中的比较及实证建议
Miguel A García-Pérez,Vicente Núñez-Antón
Miguel A García-Pérez
Controversy over the validity of significance tests in the analysis of contingency tables is motivated by the disagreement between asymptotic and exact p values and its dependence on the magnitude of expected frequencies. Variants of Pearso...
Modeling of cumulative effects of time-varying drug exposures on within-subject changes in a continuous outcome [0.03%]
基于时间变化的药物暴露对连续结果内部变化的累积效应模型研究
Coraline Danieli,Therese Sheppard,Ruth Costello et al.
Coraline Danieli et al.
An accurate assessment of the safety or effectiveness of drugs in pharmaco-epidemiological studies requires defining an etiologically correct time-varying exposure model, which specifies how previous drug use affects the outcome of interest...
On powerful exact nonrandomized tests for the Poisson two-sample setting [0.03%]
关于泊松二样本情形的强效准确非随机化检验方法
Stefan Wellek
Stefan Wellek
In the case of two independent samples from Poisson distributions, the natural target parameter for hypothesis testing is the ratio of the two population means. The conditional tests which have been derived for this class of problems alread...
Estimation of causal effects with repeatedly measured outcomes in a Bayesian framework [0.03%]
基于贝叶斯框架的重复测量结局的因果效应估计方法研究
Kuan Liu,Olli Saarela,Brian M Feldman et al.
Kuan Liu et al.
Constructing causal inference methods to handle longitudinal data in observational studies is of high interest. In an observational setting, treatment assignment at each clinical visit follows a decision strategy where the treating clinicia...
Variable selection via penalized generalized estimating equations for a marginal survival model [0.03%]
基于惩罚广义估计方程的边际生存模型的变量筛选方法研究
Yi Niu,Xiaoguang Wang,Hui Cao et al.
Yi Niu et al.
Clustered and multivariate survival times, such as times to recurrent events, commonly arise in biomedical and health research, and marginal survival models are often used to model such data. When a large number of predictors are available,...