Residual plots for linear regression models with censored outcome data: A refined method for visualizing residual uncertainty [0.03%]
删失结果数据的线性回归模型的残差图：一种可视化残差不确定性的新方法
Martin Law,Dan Jackson
Martin Law
Residual plots are a standard tool for assessing model fit. When some outcome data are censored, standard residual plots become less appropriate. Here, we develop a new procedure for producing residual plots for linear regression models whe...
Chun Pan,Bo Cai
Chun Pan
Partly interval-censored data often occur in cancer clinical trials and have been analyzed as right-censored data. Patients' geographic information sometimes is also available and can be useful in testing treatment effects and predicting su...
Robust RNA-seq data analysis using an integrated method of ROC curve and Kolmogorov-Smirnov test [0.03%]
结合ROC曲线和柯尔莫哥洛夫-斯米尔诺夫检验的集成方法进行稳健的RNA序列数据处理
Shengping Yang,Kun Zhang,Zhide Fang
Shengping Yang
It is a common approach to dichotomize a continuous biomarker in clinical setting for the convenience of application. Analytically, results from using a dichotomized biomarker are often more reliable and resistant to outliers, bi-modal and ...
A note on the estimation and inference with quadratic inference functions for correlated outcomes [0.03%]
关于二次推理函数在相关结果的估计与推断中的应用注解
Hengshi Yu,Guangyu Tong,Fan Li
Hengshi Yu
The quadratic inference function approach is a popular method in the analysis of correlated data. The quadratic inference function is formulated based on multiple sets of score equations (or extended score equations) that over-identify the ...
A New Non-Linear Conjugate Gradient Algorithm for Destructive Cure Rate Model and a Simulation Study: Illustration with Negative Binomial Competing Risks [0.03%]
破坏性治愈率模型的一种新的非线性共轭梯度算法及模拟研究：以负二项竞争风险为例
Suvra Pal,Souvik Roy
Suvra Pal
In this paper, we propose a new estimation methodology based on a projected non-linear conjugate gradient (PNCG) algorithm with an efficient line search technique. We develop a general PNCG algorithm for a survival model incorporating a pro...
Comparing the performance of statistical methods that generalize effect estimates from randomized controlled trials to much larger target populations [0.03%]
比较统计方法在将随机对照试验的效果估计推广到更大目标人群时的性能
Ian Schmid,Kara E Rudolph,Trang Quynh Nguyen et al.
Ian Schmid et al.
Policymakers use results from randomized controlled trials to inform decisions about whether to implement treatments in target populations. Various methods - including inverse probability weighting, outcome modeling, and Targeted Maximum Li...
A semi-parametric bootstrap-based best linear unbiased estimator of location under symmetry [0.03%]
基于半参数引导的位置在对称下的最佳线性无偏估计量
Alan D Hutson
Alan D Hutson
In this note we provide a novel semi-parametric best linear unbiased estimator (BLUE) of location and its corresponding variance estimator under the assumption the random variate is generated from a symmetric location-scale family of distri...
Distribution Theory Following Blinded and Unblinded Sample Size Re-estimation under Parametric Models [0.03%]
参数模型下基于盲和开盲样本量重估的分布理论
Sergey Tarima,Nancy Flournoy
Sergey Tarima
Asymptotic distribution theory for maximum likelihood estimators under fixed alternative hypotheses is reported in the literature even though the power of any realistic test converges to one under fixed alternatives. Under fixed alternative...
Parallel tempering strategies for model-based landmark detection on shapes [0.03%]
基于模型的形状关键点检测中的并行退火策略
Justin Strait,Oksana Chkrebtii,Sebastian Kurtek
Justin Strait
In the field of shape analysis, landmarks are defined as a low-dimensional, representative set of important features of an object's shape that can be used to identify regions of interest along its outline. An important problem is to infer t...
Won Chul Song,Jun Xie
Won Chul Song
Feature screening is crucial in the analysis of ultrahigh dimensional data, where the number of variables (features) is in an exponential order of the number of observations. In various ultrahigh dimensional data, variables are naturally gr...