Heping Zhang,Minghui Wang
Heping Zhang
Random forests have emerged as one of the most commonly used nonparametric statistical methods in many scientific areas, particularly in analysis of high throughput genomic data. A general practice in using random forests is to generate a s...
Empirical Likelihood based Inference for Additive Partial Linear Measurement Error Models [0.03%]
基于经验似然的加性部分线性测量误差模型推断方法研究
Hua Liang,Haiyan Su,Sally W Thurston et al.
Hua Liang et al.
This paper considers statistical inference for additive partial linear models when the linear covariate is measured with error. To improve the accuracy of the normal approximation based confidence intervals, we develop an empirical likeliho...
Semiparametric latent covariate mixed-effects models with application to a colon carcinogenesis study [0.03%]
半参数潜在协变量混合效应模型及其在结肠癌变研究中的应用
Zonghui Hu,Naisyin Wang
Zonghui Hu
We study a mixed-effects model in which the response and the main covariate are linked by position. While the covariate corresponding to the observed response is not directly observable, there exists a latent covariate process that represen...
Identification of cancer-associated gene clusters and genes via clustering penalization [0.03%]
基于聚类惩罚的癌症相关基因簇及癌基因识别方法
Shuangge Ma,Jian Huang,Shihao Shen
Shuangge Ma
Identification of genes associated with cancer development and progression using microarray data is challenging because of the high dimensionality and cluster structure of gene expressions. Here the clusters are composed of multiple genes w...
A Weighted Rank-Sum Procedure for Comparing Samples with Multiple Endpoints [0.03%]
具有多重终点的样本的加权秩和检验方法
Qizhai Li,Aiyi Liu,Kai Yu et al.
Qizhai Li et al.
For comparing the distribution of two samples with multiple endpoints, O'Brien (1984) proposed rank-sum-type test statistics. Huang et al. (2005) extended these statistics to the general nonparametric Behrens-Fisher hypothesis problem and o...
Applying the Lorenz curve to disease risk to optimize health benefits under cost constraints [0.03%]
应用洛伦兹曲线优化疾病风险下的健康效益
Mitchell H Gail
Mitchell H Gail
This paper shows how the Lorenz curve can be used, together with models of disease risk, to allocate scarce resources so as to optimize a health benefit. Consider the example of breast cancer mortality. If there were sufficient resources to...
Jianqing Fan,Wenyang Zhang
Jianqing Fan
The varying coefficient models are very important tool to explore the dynamic pattern in many scientific areas, such as economics, finance, politics, epidemiology, medical science, ecology and so on. They are natural extensions of classical...
LASSO-Patternsearch algorithm with application to ophthalmology and genomic data [0.03%]
用于眼科和基因组数据的LASSO-模式搜索算法
Weiliang Shi,Grace Wahba,Stephen Wright et al.
Weiliang Shi et al.
The LASSO-Patternsearch algorithm is proposed to efficiently identify patterns of multiple dichotomous risk factors for outcomes of interest in demographic and genomic studies. The patterns considered are those that arise naturally from the...
Heping Zhang,Yuanqing Ye
Heping Zhang
Motivated by a real example of understanding the so-called "building related occupant complaint syndromes" (BROCS), we propose a tree-based method for analyzing a multivariate ordinal response. Our method is semiparametric by assuming a wit...