Sample Size Requirements and Study Duration for Testing Main Effects and Interactions in Completely Randomized Factorial Designs When Time to Event is the Outcome [0.03%]
完全随机化因子设计中检验主要效应和交互作用的样本量要求及研究持续时间（生存结局）
Barry Kurt Moser,Susan Halabi
Barry Kurt Moser
In this paper we develop the methodology for designing clinical trials with any factorial arrangement when the primary outcome is time to event. We provide a matrix formulation for calculating the sample size and study duration necessary to...
An Empirical Bayes Method for Multivariate Meta-analysis with an Application in Clinical Trials [0.03%]
临床试验多变量 meta 分析的 EMBayes 方法及其应用研究
Yong Chen,Sheng Luo,Haitao Chu et al.
Yong Chen et al.
We propose an empirical Bayes method for evaluating overall and study-specific treatment effects in multivariate meta-analysis with binary outcome. Instead of modeling transformed proportions or risks via commonly used multivariate general ...
Hui Zhao,Kate Virkler,Jianguo Sun
Hui Zhao
Multivariate panel count data often occur when there exist several related recurrent events or response variables defined by occurrences of related events. For univariate panel count data, several nonparametric treatment comparison procedur...
NON-HOMOGENEOUS POISSON PROCESS MODEL FOR GENETIC CROSSOVER INTERFERENCE [0.03%]
遗传学位点间相互作用的非齐次泊松过程模型
Szu-Yun Leu,Pranab K Sen
Szu-Yun Leu
The genetic crossover interference is usually modeled with a stationary renewal process to construct the genetic map. We propose two non-homogeneous, also dependent, Poisson process models applied to the known physical map. The crossover pr...
Christopher S Coffey,Keith E Muller
Christopher S Coffey
The truncated gamma distribution has been widely studied, primarily in life-testing and reliability settings. Most work has assumed an upper bound on the support of the random variable, i.e. the space of the distribution is (0, u). We consi...
Practical Methods for Bounding Type I Error Rate with an Internal Pilot Design [0.03%]
内部预试验设计中控制一类误差的几种方法
Christopher S Coffey,John A Kairalla,Keith E Muller
Christopher S Coffey
New analytic forms for distributions at the heart of internal pilot theory solve many problems inherent to current techniques for linear models with Gaussian errors. Internal pilot designs use a fraction of the data to re-estimate the error...
BIAS IN LINEAR MODEL POWER AND SAMPLE SIZE DUE TO ESTIMATING VARIANCE [0.03%]
方差估计对线性模型功效和样本量的影响导致的偏倚
Keith E Muller,Virginia B Pasour
Keith E Muller
Planning a study using the General Linear Univariate Model often involves sample size calculation based on a variance estimated in an earlier study. Noncentrality, power, and sample size inherit the randomness. Additional complexity arises ...
Keith E Muller,Mario Chen Mok
Keith E Muller
Cook (1977) proposed a diagnostic to quantify the impact of deleting an observation on the estimated regression coefficients of a General Linear Univariate Model (GLUM). Simulations of models with Gaussian response and predictors demonstrat...
BIAS IN LINEAR MODEL POWER AND SAMPLE SIZE CALCULATION DUE TO ESTIMATING NONCENTRALITY [0.03%]
由于估计非中心性而导致的线性模型功效和样本量计算中的偏差
Douglas J Taylor,Keith E Muller
Douglas J Taylor
Data analysts frequently calculate power and sample size for a planned study using mean and variance estimates from an initial trial. Hence power, or the sample size needed to achieve a fixed power, varies randomly. Such calculations can be...
Deborah H Glueck,Keith E Muller
Deborah H Glueck
We prove new extensions to lemmas about combinations of convergent sequences of distribution functions and absolutely continuous bounded functions. New lemma one, a generalized Helly theorem, allows computing the limit of the expected value...