Outlier robust modeling of survival curves in the presence of potentially time-varying coefficients [0.03%]
含有时变系数的生存分析中的异常值鲁棒模型研究
Jorne Lionel Biccler,Martin Bøgsted,Stefan Van Aelst et al.
Jorne Lionel Biccler et al.
In time to event studies, censoring often occurs and models that take this into account are wide-spread. In the presence of outliers, standard estimators of model parameters may be affected such that results and conclusions are not reliable...
Quantile regression for incomplete longitudinal data with selection by death [0.03%]
带有因死亡而选择性截断的不完整的纵向数据的分位数回归
Hélène Jacqmin-Gadda,Anaïs Rouanet,Robert D Mba et al.
Hélène Jacqmin-Gadda et al.
Quantile regressions are increasingly used to provide population norms for quantitative variables. Indeed, they do not require any Gaussian assumption for the response and allow to characterize its entire distribution through different quan...
Bayesian cluster hierarchical model for subgroup borrowing in the design and analysis of basket trials with binary endpoints [0.03%]
基于贝叶斯聚类分层模型的篮子试验二值终点亚组信息借用设计与分析方法研究
Nan Chen,J Jack Lee
Nan Chen
Master protocol designs are often proposed to improve the efficiency of drug development with multiple subgroups. In the basket trial design, different subgroups can have similar biological pathogenesis pathways. Hence, a target therapy can...
A study of alternative approaches to non-normal latent trait distributions in item response theory models used for health outcome measurement [0.03%]
用于健康结果测量的项目反应理论模型中非正态潜在特质分布的替代方法研究
Niels Smits,Oğuzhan Öğreden,Mauricio Garnier-Villarreal et al.
Niels Smits et al.
It is often unrealistic to assume normally distributed latent traits in the measurement of health outcomes. If normality is violated, the item response theory (IRT) models that are used to calibrate questionnaires may yield parameter estima...
A family of linear mixed-effects models using the generalized Laplace distribution [0.03%]
基于广义Laplace分布的线性混合效应模型族
Marco Geraci,Alessio Farcomeni
Marco Geraci
We propose a new family of linear mixed-effects models based on the generalized Laplace distribution. Special cases include the classical normal mixed-effects model, models with Laplace random effects and errors, and models where Laplace an...
Expanding attributable fraction applications to outcomes wholly attributable to a risk factor [0.03%]
扩展可归因分数的应用以涵盖完全由风险因素所致的结果
Samuel Churchill,Colin Angus,Robin Purshouse et al.
Samuel Churchill et al.
The problem central to this document is the estimation of change in disease attributable to an epidemiological exposure variable that stems from a change in the distribution of that variable. We require that both disease and exposure are qu...
Data transformations for statistical assessment of quantitative imaging biomarkers: Application to lung nodule volumetry [0.03%]
定量影像生物标志物的统计评估的数据转换方法及其在肺结节体积测量中的应用
Qi Gong,Qin Li,Marios A Gavrielides et al.
Qi Gong et al.
Variance stabilization is an important step in the statistical assessment of quantitative imaging biomarkers. The objective of this study is to compare the Log and the Box-Cox transformations for variance stabilization in the context of ass...
Laura Kerschke,Andreas Faldum,Rene Schmidt
Laura Kerschke
The one-sample log-rank test allows to compare the survival of a single sample with a prefixed reference survival curve. It naturally applies in single-arm phase IIa trials with time-to-event endpoint. Several authors have described that th...
MultiBaC: A strategy to remove batch effects between different omic data types [0.03%]
多批量校正：去除不同类型组学数据之间批次效应的策略
Manuel Ugidos,Sonia Tarazona,José M Prats-Montalbán et al.
Manuel Ugidos et al.
Diversity of omic technologies has expanded in the last years together with the number of omic data integration strategies. However, multiomic data generation is costly, and many research groups cannot afford research projects where many di...
Lili Yu,Liang Liu,Karl E Peace
Lili Yu
Iterative multiple imputation is a popular technique for missing data analysis. It updates the parameter estimators iteratively using multiple imputation method. This technique is convenient and flexible. However, the parameter estimators d...