Spatial misalignment in time series studies of air pollution and health data [0.03%]
时间序列的空气污染和健康数据的空间错配问题
Roger D Peng,Michelle L Bell
Roger D Peng
Time series studies of environmental exposures often involve comparing daily changes in a toxicant measured at a point in space with daily changes in an aggregate measure of health. Spatial misalignment of the exposure and response variable...
A dynamic approach for reconstructing missing longitudinal data using the linear increments model [0.03%]
基于线性增长模型的纵向数据动态填补方法研究
Odd O Aalen,Nina Gunnes
Odd O Aalen
Missing observations are commonplace in longitudinal data. We discuss how to model and analyze such data in a dynamic framework, that is, taking into consideration the time structure of the process and the influence of the past on the prese...
Bayesian profile regression with an application to the National Survey of Children's Health [0.03%]
贝叶斯配置回归及其在儿童健康全国调查中的应用
John Molitor,Michail Papathomas,Michael Jerrett et al.
John Molitor et al.
Standard regression analyses are often plagued with problems encountered when one tries to make inference going beyond main effects using data sets that contain dozens of variables that are potentially correlated. This situation arises, for...
Surface shape analysis with an application to brain surface asymmetry in schizophrenia [0.03%]
精神分裂症大脑皮层表面不对称性的表型分析研究
Christopher J Brignell,Ian L Dryden,S Antonio Gattone et al.
Christopher J Brignell et al.
Some methods for the statistical analysis of surface shapes and asymmetry are introduced. We focus on a case study where magnetic resonance images of the brain are available from groups of 30 schizophrenia patients and 38 controls, and we i...
Software for fitting nonstandard proportional subdistribution hazards models [0.03%]
适合非标准比例分发风险模型的软件
Arthur Allignol,Jan Beyersmann
Arthur Allignol
A general framework for studying genetic effects and gene-environment interactions with missing data [0.03%]
一种研究遗传效应和基因-环境交互作用的缺失数据处理通用框架
Y J Hu,D Y Lin,D Zeng
Y J Hu
Missing data arise in genetic association studies when genotypes are unknown or when haplotypes are of direct interest. We provide a general likelihood-based framework for making inference on genetic effects and gene-environment interaction...
Mengye Guo,Daniel F Heitjan
Mengye Guo
When testing multiple hypotheses simultaneously, there is a need to adjust the levels of the individual tests to effect control of the family-wise error rate (FWER). Standard frequentist adjustments control the error rate but are typically ...
Hao Wu,Brian Caffo,Harris A Jaffee et al.
Hao Wu et al.
The DNA of most vertebrates is depleted in CpG dinucleotide: a C followed by a G in the 5' to 3' direction. CpGs are the target for DNA methylation, a chemical modification of cytosine (C) heritable during cell division and the most well-ch...
Design and testing for clinical trials faced with misclassified causes of death [0.03%]
面对死因误分类的临床试验的设计和检验
Bart Van Rompaye,Els Goetghebeur,Shabbar Jaffar
Bart Van Rompaye
With clinical trials under pressure to produce more convincing results faster, we reexamine relative efficiencies for the semiparametric comparison of cause-specific rather than all-cause mortality events, observing that in many settings mi...
A very fast and accurate method for calling aberrations in array-CGH data [0.03%]
一种在数组CGH数据中快速准确调用异常值的方法
Matteo Benelli,Giuseppina Marseglia,Genni Nannetti et al.
Matteo Benelli et al.
Array comparative genomic hybridization (aCGH) is a microarray technology that allows one to detect and map genomic alterations. The standard workflow of the aCGH data analysis consists of 2 steps: detecting the boundaries of the regions of...