Estimation of Progression-Free Survival for All Treated Patients in the Randomized Discontinuation Trial Design [0.03%]
随机停药试验设计中所有接受治疗患者无进展生存期的估计
Theodore G Karrison,Mark J Ratain,Walter M Stadler et al.
Theodore G Karrison et al.
The randomized discontinuation trial (RDT) design is an enrichment-type design that has been used in a variety of diseases to evaluate the efficacy of new treatments. The RDT design seeks to select a more homogeneous group of patients, cons...
Computing Confidence Bounds for Power and Sample Size of the General Linear Univariate Model [0.03%]
计算一般线性单变量模型功效和样本量的置信边界的方法
Douglas J Taylor,Keith E Muller
Douglas J Taylor
The power of a test, the probability of rejecting the null hypothesis in favor of an alternative, may be computed using estimates of one or more distributional parameters. Statisticians frequently fix mean values and calculate power or samp...
Note on an Identity Between Two Unbiased Variance Estimators for the Grand Mean in a Simple Random Effects Model [0.03%]
关于简单随机效应模型中用于总体均值的两个无偏方差估计量之间恒等式的注记
Bruce Levin,Cheng-Shiun Leu
Bruce Levin
We demonstrate the algebraic equivalence of two unbiased variance estimators for the sample grand mean in a random sample of subjects from an infinite population where subjects provide repeated observations following a homoscedastic random ...
An Overview of Current Software Procedures for Fitting Linear Mixed Models [0.03%]
拟合线性混合模型的当前软件方法概述
Brady T West,Andrzej T Galecki
Brady T West
At present, there are many software procedures available enabling statisticians to fit linear mixed models (LMMs) to continuous dependent variables in clustered or longitudinal data sets. LMMs are flexible tools for analyzing relationships ...
Estimating the Correlation in Bivariate Normal Data with Known Variances and Small Sample Sizes() [0.03%]
方差已知的小样本的二元正态相关性估计()
Bailey K Fosdick,Adrian E Raftery
Bailey K Fosdick
We consider the problem of estimating the correlation in bivariate normal data when the means and variances are assumed known, with emphasis on the small sample case. We consider eight different estimators, several of them considered here f...
Robert S Poulson,Gary L Gadbury,David B Allison
Robert S Poulson
Plausibility of high variability in treatment effects across individuals has been recognized as an important consideration in clinical studies. Surprisingly, little attention has been given to evaluating this variability in design of clinic...
Bo Lu,Robert Greevy,Xinyi Xu et al.
Bo Lu et al.
Matching is a powerful statistical tool in design and analysis. Conventional two-group, or bipartite, matching has been widely used in practice. However, its utility is limited to simpler designs. In contrast, nonbipartite matching is not l...
Dennis D Boos,Leonard A Stefanski
Dennis D Boos
P-values are useful statistical measures of evidence against a null hypothesis. In contrast to other statistical estimates, however, their sample-to-sample variability is usually not considered or estimated, and therefore not fully apprecia...
On the Assessment of Monte Carlo Error in Simulation-Based Statistical Analyses [0.03%]
论模拟统计分析中蒙特卡罗误差的评估
Elizabeth Koehler,Elizabeth Brown,Sebastien J-P A Haneuse
Elizabeth Koehler
Statistical experiments, more commonly referred to as Monte Carlo or simulation studies, are used to study the behavior of statistical methods and measures under controlled situations. Whereas recent computing and methodological advances ha...
Empirical Performance of Cross-Validation With Oracle Methods in a Genomics Context [0.03%]
具Oracle性质的方法在基因组学中的交叉验证的经验表现
Josue G Martinez,Raymond J Carroll,Samuel Müller et al.
Josue G Martinez et al.
When employing model selection methods with oracle properties such as the smoothly clipped absolute deviation (SCAD) and the Adaptive Lasso, it is typical to estimate the smoothing parameter by m-fold cross-validation, for example, m = 10. ...