Evaluation of a Frequentist Hierarchical Model to Estimate Prevalence when sampling from a large geographic area using Pool Screening [0.03%]
评估频繁主义层次模型的性能：在大面积地域使用合并筛查估计患病率
Thomas Birkner,Inmaculada B Aban,Charles R Katholi
Thomas Birkner
We present a frequentist Bernoulli-Beta hierarchical model to relax the constant prevalence assumption underlying the traditional prevalence estimation approach based on pooled data. This assumption is called into question when sampling fro...
Some Distributions and Their Implications for an Internal Pilot Study With a Univariate Linear Model [0.03%]
某些分布及其对一元线性模型内部试点研究的影响
Christopher S Coffey,Keith E Muller
Christopher S Coffey
In planning a study, the choice of sample size may depend on a variance value based on speculation or obtained from an earlier study. Scientists may wish to use an internal pilot design to protect themselves against an incorrect choice of v...
Spatial Cluster Detection for Longitudinal Outcomes using Administrative Regions [0.03%]
基于行政区域的纵向结局时空聚类检测方法研究
Andrea J Cook,Diane R Gold,Yi Li
Andrea J Cook
This manuscript proposes a new spatial cluster detection method for longitudinal outcomes that detects neighborhoods and regions with elevated rates of disease while controlling for individual level confounders. The proposed method, CumResP...
Random effects coefficient of determination for mixed and meta-analysis models [0.03%]
混合模型和meta分析模型的随机效应决定系数
Eugene Demidenko,James Sargent,Tracy Onega
Eugene Demidenko
The key feature of a mixed model is the presence of random effects. We have developed a coefficient, called the random effects coefficient of determination, [Formula: see text], that estimates the proportion of the conditional variance of t...
The Distribution of Family Sizes Under a Time-Homogeneous Birth and Death Process [0.03%]
时间同质性出生与死亡过程下的家庭规模分布
Panagis Moschopoulos,Max Shpak
Panagis Moschopoulos
The number of extant individuals within a lineage, as exemplified by counts of species numbers across genera in a higher taxonomic category, is known to be a highly skewed distribution. Because the sublineages (such as genera in a clade) th...
Chin-Shang Li
Chin-Shang Li
Cubic B-splines are used to estimate the nonparametric component of a semiparametric generalized linear model. A penalized log-likelihood ratio test statistic is constructed for the null hypothesis of the linearity of the non-parametric fun...
An Exponential-Gamma Convolution Model for Background Correction of Illumina BeadArray Data [0.03%]
伊llumina BeadArray数据背景校正的指数伽玛卷积模型
Min Chen,Yang Xie,Michael Story
Min Chen
Illumina BeadArrays are becoming an increasingly popular Microarray platform due to its high data quality and relatively low cost. One distinct feature of Illumina BeadArrays is that each array has thousands of negative control bead types c...
Kush Kapur,Anindya Roy,Dulal K Bhaumik et al.
Kush Kapur et al.
In this article, we model functional magnetic resonance imaging (fMRI) data for event-related experiment data using a fourth degree spline to fit voxel specific blood oxygenation level-dependent (BOLD) responses. The data are preprocessed f...
Bin Zhang,Haiqun Lin,David J Hunter et al.
Bin Zhang et al.
Pain severity of knees is assessed using an ordinal scale in patients with musculoskeletal diseases and often changes over time. Assessment of the effect of a particular risk factor on the change in pain severity will shed light on our unde...
Michael G Hudgens,Hae-Young Kim
Michael G Hudgens
We consider the optimal configuration of a square array group testing algorithm (denoted A2) to minimize the expected number of tests per specimen. For prevalence greater than 0.2498, individual testing is shown to be more efficient than A2...