Cox regression model with time-varying coefficients in nested case-control studies [0.03%]
嵌套病例对照研究中的时变系数Cox回归模型
Mengling Liu,Wenbin Lu,Roy E Shore et al.
Mengling Liu et al.
The nested case-control (NCC) design is a cost-effective sampling method to study the relationship between a disease and its risk factors in epidemiologic studies. NCC data are commonly analyzed using Thomas' partial likelihood approach und...
On inferring presence of an individual in a mixture: a Bayesian approach [0.03%]
基于Bayesian方法推测混合样本中个体的包含情况
David Clayton
David Clayton
Homer and others (2008. Resolving individuals contributing trace amounts of DNA to highly complex mixtures using high-density SNP genotyping microarrays. PLoS Genetics 4, e1000167) recently showed that, given allele frequency data for a lar...
Identification of causal effects on binary outcomes using structural mean models [0.03%]
基于结构平均模型的二分类结果的因果效应识别
Paul S Clarke,Frank Windmeijer
Paul S Clarke
Structural mean models (SMMs) were originally formulated to estimate causal effects among those selecting treatment in randomized controlled trials affected by nonignorable noncompliance. It has already been established that SMMs can identi...
Simultaneous variable selection and class fusion for high-dimensional linear discriminant analysis [0.03%]
高维线性判别分析中的同时变量选择和类融合方法研究
Jian Guo
Jian Guo
In many high-dimensional microarray classification problems, an important task is to identify subsets of genes that best discriminate the classes. Nevertheless, existing gene selection methods for microarray classification cannot identify w...
Niels Keiding
Niels Keiding
Niels Keiding
Niels Keiding
HIV with contact tracing: a case study in approximate Bayesian computation [0.03%]
带接触追踪的HIV模型的近似贝叶斯计算案例研究
Michael G B Blum,Viet Chi Tran
Michael G B Blum
Missing data is a recurrent issue in epidemiology where the infection process may be partially observed. Approximate Bayesian computation (ABC), an alternative to data imputation methods such as Markov chain Monte Carlo (MCMC) integration, ...
Testing and interval estimation for two-sample survival comparisons with small sample sizes and unequal censoring [0.03%]
小样本不平等截尾下的两个生存函数的假设检验和区间估计
Rui Wang,Stephen W Lagakos,Robert J Gray
Rui Wang
While the commonly used log-rank test for survival times between 2 groups enjoys many desirable properties, sometimes the log-rank test and its related linear rank tests perform poorly when sample sizes are small. Similar concerns apply to ...
Ariel Alonso Abad,Saskia Litière,Geert Molenberghs
Ariel Alonso Abad
Generalized linear mixed models have become a frequently used tool for the analysis of non-Gaussian longitudinal data. Estimation is often based on maximum likelihood theory, which assumes that the underlying probability model is correctly ...
Paola Bortot,Guido Masarotto,Bruno Scarpa
Paola Bortot
Forecasting the length of the menstrual cycle and of its phases is an important problem in infertility management and natural family planning. Using repeated measurements of the length of the entire cycle and of the preovular phase provided...