Random Effects Models in a Meta-Analysis of the Accuracy of Two Diagnostic Tests Without a Gold Standard [0.03%]
无金标准时两类诊断试验甲乙准确性meta分析的随机效应模型研究
Haitao Chu,Sining Chen,Thomas A Louis
Haitao Chu
In studies of the accuracy of diagnostic tests, it is common that both the diagnostic test itself and the reference test are imperfect. This is the case for the microsatellite instability test, which is routinely used as a prescreening proc...
Semiparametric Analysis of Heterogeneous Data Using Varying-Scale Generalized Linear Models [0.03%]
利用变化尺度广义线性模型进行异质数据的半参数分析
Minge Xie,Douglas G Simpson,Raymond J Carroll
Minge Xie
This article describes a class of heteroscedastic generalized linear regression models in which a subset of the regression parameters are rescaled nonparametrically, and develops efficient semiparametric inferences for the parametric compon...
Properties and Implementation of Jeffreys's Prior in Binomial Regression Models [0.03%]
二项回归模型中Jeffreys先验的性质与实现研究
Ming-Hui Chen,Joseph G Ibrahim,Sungduk Kim
Ming-Hui Chen
We study several theoretical properties of Jeffreys's prior for binomial regression models. We show that Jeffreys's prior is symmetric and unimodal for a class of binomial regression models. We characterize the tail behavior of Jeffreys's p...
Shrinkage Estimators for Robust and Efficient Inference in Haplotype-Based Case-Control Studies [0.03%]
基于单体型的病例对照研究的稳健和高效的收缩估计量
Yi-Hau Chen,Nilanjan Chatterjee,Raymond J Carroll
Yi-Hau Chen
Case-control association studies often aim to investigate the role of genes and gene-environment interactions in terms of the underlying haplotypes (i.e., the combinations of alleles at multiple genetic loci along chromosomal regions). The ...
Analysis of Smoking Cessation Patterns Using a Stochastic Mixed-Effects Model With a Latent Cured State [0.03%]
具有潜在治愈状态的随机混合效应模型在吸烟行为分析中的应用研究
Sheng Luo,Ciprian M Crainiceanu,Thomas A Louis et al.
Sheng Luo et al.
We develop a mixed model to capture the complex stochastic nature of tobacco abuse and dependence. This model describes transition processes among addiction and nonaddiction stages. An important innovation of our model is allowing an unobse...
Assessing Sexual Attitudes and Behaviors of Young Women: A Joint Model with Nonlinear Time Effects, Time Varying Covariates, and Dropouts [0.03%]
具有非线性时间效应、时变协变量和脱落受试者的联合模型在年轻女性中评估性态度和行为
Pulak Ghosh,Wanzhu Tu
Pulak Ghosh
Understanding human sexual behaviors is essential for the effective prevention of sexually transmitted infections. Analysis of longitudinally measured sexual behavioral data, however, is often complicated by zero-inflation of event counts, ...
Jianqing Fan,Yichao Wu
Jianqing Fan
Estimation of longitudinal data covariance structure poses significant challenges because the data are usually collected at irregular time points. A viable semiparametric model for covariance matrices was proposed in Fan, Huang and Li (2007...
Current Methods for Recurrent Events Data with Dependent Termination: A Bayesian Perspective [0.03%]
具有依赖终止的复发事件数据的当前方法：贝叶斯视角
Debajyoti Sinha,Tapabrata Maiti,Joseph G Ibrahim et al.
Debajyoti Sinha et al.
There has been a recent surge of interest in modeling and methods for analyzing recurrent events data with risk of termination dependent on the history of the recurrent events. To aid the future users in understanding the implications of mo...
Using Wavelet-Based Functional Mixed Models to Characterize Population Heterogeneity in Accelerometer Profiles: A Case Study [0.03%]
基于小波的函数混合模型在加速仪轮廓中表征人口异质性：一个案例研究
Jeffrey S Morris,Cassandra Arroyo,Brent A Coull et al.
Jeffrey S Morris et al.
We present a case study illustrating the challenges of analyzing accelerometer data taken from a sample of children participating in an intervention study designed to increase physical activity. An accelerometer is a small device worn on th...
Sensitivity Analyses Comparing Time-to-Event Outcomes Existing Only in a Subset Selected Postrandomization [0.03%]
选择性后随机化仅存在于亚组中的事件时间结果的敏感性分析比较
Bryan E Shepherd,Peter B Gilbert,Thomas Lumley
Bryan E Shepherd
In some randomized studies, researchers are interested in determining the effect of treatment assignment on outcomes that may exist only in a subset chosen after randomization. For example, in preventative human immunodeficiency virus (HIV)...