Multiple Temporal Cluster DetectionBiometrics - Tập 57 Số 2 - Trang 577-583 - 2001
Nicolas Molinari, Christophe Bonaldi, J.P. Daurès
Summary. This article proposes a simple method to determine single or multiple temporal clustering on a variable size population. By a transformation of the data set, the method based on a regression model allows consideration of a variable population size during the time of study. A model selection procedure and a resampling method are used to select the number of ...... hiện toàn bộ
A Logistic Normal Multinomial Regression Model for Microbiome Compositional Data AnalysisBiometrics - Tập 69 Số 4 - Trang 1053-1063 - 2013
Fan Dora Xia, Jun Chen, Wing K. Fung, Hongzhe Li
SummaryChanges in human microbiome are associated with many human diseases. Next generation sequencing technologies make it possible to quantify the microbial composition without the need for laboratory cultivation. One important problem of microbiome data analysis is to identify the environmental/biological covariates that are associated with different bacterial t...... hiện toàn bộ
An adaptive independence test for microbiome community dataBiometrics - Tập 76 Số 2 - Trang 414-426 - 2020
Yaru Song, Hongyu Zhao, Tao Wang
AbstractAdvances in sequencing technologies and bioinformatics tools have vastly improved our ability to collect and analyze data from complex microbial communities. A major goal of microbiome studies is to correlate the overall microbiome composition with clinical or environmental variables. La Rosa et al. recently proposed a parametric ...... hiện toàn bộ
A GLM-based Latent Variable Ordination Method for Microbiome SamplesBiometrics - Tập 74 Số 2 - Trang 448-457 - 2018
Michael B. Sohn, Hongzhe Li
Summary
Distance-based ordination methods, such as principal coordinates analysis (PCoA), are widely used in the analysis of microbiome data. However, these methods are prone to pose a potential risk of misinterpretation about the compositional difference in samples across different populations if there is a difference in dispersion effects. Accounti...... hiện toàn bộ
A Smoothing-Based Goodness-of-Fit Test of Covariance for Functional DataBiometrics - Tập 75 Số 2 - Trang 562-571 - 2019
Stephanie T. Chen, Luo Xiao, Ana‐Maria Staicu
Abstract
Functional data methods are often applied to longitudinal data as they provide a more flexible way to capture dependence across repeated observations. However, there is no formal testing procedure to determine if functional methods are actually necessary. We propose a goodness-of-fit test for comparing parametric covariance functions against...... hiện toàn bộ