Joint modeling and multiple comparisons with the best of data from a SMART with survival outcomes [0.03%]
结合生存结局SMART数据的联合建模和与最佳结果的多重比较
Yan-Cheng Chao,Qui Tran,Alex Tsodikov et al.
Yan-Cheng Chao et al.
A dynamic treatment regimen (DTR) is a sequence of decision rules that can alter treatments or doses based on outcomes from prior treatment. In the case of two lines of treatment, a DTR specifies first-line treatment, and second-line treatm...
Accounting for total variation and robustness in profiling health care providers [0.03%]
医疗保健提供者绩效评估中的稳健性和总体差异分析方法研究
Lu Xia,Kevin He,Yanming Li et al.
Lu Xia et al.
Monitoring outcomes of health care providers, such as patient deaths, hospitalizations, and hospital readmissions, helps in assessing the quality of health care. We consider a large database on patients being treated at dialysis facilities ...
Nonparametric targeted Bayesian estimation of class proportions in unlabeled data [0.03%]
无标签数据中未标明类别的比例的靶向贝叶斯估计法
Iván Díaz,Oleksander Savenkov,Hooman Kamel
Iván Díaz
We introduce a novel Bayesian estimator for the class proportion in an unlabeled dataset, based on the targeted learning framework. The procedure requires the specification of a prior (and outputs a posterior) only for the target of inferen...
Arnaud Gloaguen,Cathy Philippe,Vincent Frouin et al.
Arnaud Gloaguen et al.
Regularized generalized canonical correlation analysis (RGCCA) is a general multiblock data analysis framework that encompasses several important multivariate analysis methods such as principal component analysis, partial least squares regr...
Irina Gaynanova,Naresh Punjabi,Ciprian Crainiceanu
Irina Gaynanova
We introduce a multilevel functional Beta model to quantify the blood glucose levels measured by continuous glucose monitors for multiple days in study participants with type 2 diabetes mellitus. The model estimates the subject-specific mar...
Amy D Willis,Bryan D Martin
Amy D Willis
Comparing ecological communities across environmental gradients can be challenging, especially when the number of different taxonomic groups in the communities is large. In this setting, community-level summaries called diversity indices ar...
Chien-Lin Su,Robert W Platt,Jean-François Plante
Chien-Lin Su
Recurrent event data are commonly encountered in observational studies where each subject may experience a particular event repeatedly over time. In this article, we aim to compare cumulative rate functions (CRFs) of two groups when treatme...
Evaluating biomarkers for treatment selection from reproducibility studies [0.03%]
从可重复性研究中评估用于选择治疗方法的生物标志物
Xiao Song,Kevin K Dobbin
Xiao Song
We consider evaluating new or more accurately measured predictive biomarkers for treatment selection based on a previous clinical trial involving standard biomarkers. Instead of rerunning the clinical trial with the new biomarkers, we propo...
Randomized Controlled Trial
Biostatistics (Oxford, England). 2022 Jan 13;23(1):173-188. DOI:10.1093/biostatistics/kxaa018 2022
Depth importance in precision medicine (DIPM): a tree- and forest-based method for right-censored survival outcomes [0.03%]
精准医学中的深度重要性(DIPM)：一种基于树和森林的生存分析方法
Victoria Chen,Heping Zhang
Victoria Chen
Many clinical trials have been conducted to compare right-censored survival outcomes between interventions. Such comparisons are typically made on the basis of the entire group receiving one intervention versus the others. In order to ident...
New approaches for testing non-inferiority for three-arm trials with Poisson distributed outcomes [0.03%]
具泊松分布结果的三臂试验测试非劣效性的新方法
Samiran Ghosh,Erina Paul,Shrabanti Chowdhury et al.
Samiran Ghosh et al.
With the availability of limited resources, innovation for improved statistical method for the design and analysis of randomized controlled trials (RCTs) is of paramount importance for newer and better treatment discovery for any therapeuti...