Bayesian Hierarchical Model for Heterogeneity in the Diagnosis and Treatment of Hepatocellular Carcinoma (HCC) in the African Continent [0.03%]
非洲大陆肝细胞癌诊断和治疗异质性的贝叶斯层次模型
Marinela Capanu,Yuelin Li,Joanne Chou et al.
Marinela Capanu et al.
HCC prevalence and etiology differ between African regions. To better understand these differences, a survey was conducted to characterize the health care practices in HCC management in Africa. Due to limited number of respondents from cert...
Using a Bayesian model of the joint distribution of pain and time on medication to decide on pain medication for neuropathy [0.03%]
使用贝叶斯模型联合分析疼痛与用药时间以决定用于周围神经病变的止痛药
Guangyi Gao,Jo A Wick,Alexandra R Brown et al.
Guangyi Gao et al.
The PAIN-CONTRoLS trial compared four medications in treating Cryptogenic sensory polyneuropathy. The primary outcome was a utility function that combined two outcomes, patients' pain score reduction and patients' quit rate. However, additi...
Applications of Covariate Adjusted Nonparametric Methods to CCTRN Clinical Trials [0.03%]
协变量调整的非参数方法在CCTRN临床试验中的应用
Jiabu Ye,Dejian Lai,Lemuel A Moye et al.
Jiabu Ye et al.
CCTRN is a Cardiovascular Cell Therapy Research Network. There were three randomized double blinded controlled stem cell clinical trials conducted in its first phase. The main results of these three clinical trials were published with conve...
Assessing Alternative Imputation Strategies for Infrequently Missing Items on Multi-item Scales [0.03%]
评估多项目量表中不频繁缺失项目替代插补策略的方法
Panteha Hayati Rezvan,W Scott Comulada,M Isabel Fernández et al.
Panteha Hayati Rezvan et al.
Health-science researchers often measure psychological constructs using multi-item scales and encounter missing items on some participants. Multiple imputation (MI) has emerged as an alternative to ad-hoc methods (e.g., mean substitution) f...
Detecting time lag between a pair of time series using visibility graph algorithm [0.03%]
基于可见图算法的一对时间序列的时间滞后检测方法
Majnu John,Janina Ferbinteanu
Majnu John
Estimating the time lag between a pair of time series is of significance in many practical applications. In this article, we introduce a method to quantify such lags by adapting the visibility graph algorithm, which converts time series int...
A Comparison of High Dimensional Variable Selection Methods with Missing Covariates in a Prostate Cancer Study [0.03%]
缺失协变量的高维变量选择方法比较及前列腺癌的应用研究
Chi Chen,Jiwei Zhao,Jeffrey Miecznikowski et al.
Chi Chen et al.
Prostate cancer is the most common cancer in American men. Dozens of specific genes have been shown to be correlated to prostate cancer, to benign and non-benign cancer cases, from a biology perspective. In this paper, we apply a penalized ...
Detection of Local DNA Copy Number Changes in Lung Cancer Population Analyses Using A Multi-Scale Approach [0.03%]
基于多尺度方法的肺癌群体分析中局部DNA拷贝数变化的检测
Nezamoddin N Kachouie,Xihong Lin,David C Christiani et al.
Nezamoddin N Kachouie et al.
Emerging advances in genomic sequencing have prompted the development of new computational methods for studying the genomic sources of human diseases. This paper presents a recent statistical approach for detection of local regions with sig...
Informatively clustering longitudinal microarrays using binary or survival outcome data [0.03%]
基于二元或生存结果数据的纵向微阵列信息聚类
Jessie J Hsu,Dianne M Finkelstein,David A Schoenfeld
Jessie J Hsu
The goal of this research is to discover what groups of genes are associated with the disease process. We use binary and failure time outcomes to inform the clustering of longitudinally-collected microarray data. We propose a linear model w...
A comparison of time-homogeneous Markov chain and Markov process multi-state models [0.03%]
时间齐次马尔可夫链和马尔可夫过程多状态模型的比较
Lijie Wan,Wenjie Lou,Erin Abner et al.
Lijie Wan et al.
Time-homogeneous Markov models are widely used tools for analyzing longitudinal data about the progression of a chronic disease over time. There are advantages to modeling the true disease progression as a discrete time stationary Markov ch...
A Practical and Accurate Approximation for Carrying Out Repeated Measures Power Calculations [0.03%]
一种实用而准确的近似方法，用于执行重复测量功效计算
Alan D Hutson
Alan D Hutson
Oftentimes consulting researchers are faced with generating power calculations for pilot designs that entail complex correlation/covariance structures. In many of these instances it is necessary for the statistician to elicit information pe...