Biometrics

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Processing Data for Outliers
Biometrics - Tập 9 Số 1 - Trang 74 - 1953
W. J. Dixon
Multiple Temporal Cluster Detection
Biometrics - 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 Analysis
Biometrics - 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 data
Biometrics - 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 Dirichlet-Tree Multinomial Regression Model for Associating Dietary Nutrients with Gut Microorganisms
Biometrics - Tập 73 Số 3 - Trang 792-801 - 2017
Tao Wang, Hongyu Zhao
SummaryUnderstanding the factors that alter the composition of the human microbiota may help personalized healthcare strategies and therapeutic drug targets. In many sequencing studies, microbial communities are characterized by a list of taxa, their counts, and their evolutionary relationships represented by a phylogenetic tree. In this article, we consider an ext...... hiện toàn bộ
A GLM-based Latent Variable Ordination Method for Microbiome Samples
Biometrics - 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
Modeling Data with Excess Zeros and Measurement Error: Application to Evaluating Relationships between Episodically Consumed Foods and Health Outcomes
Biometrics - Tập 65 Số 4 - Trang 1003-1010 - 2009
Victor Kipnis, Douglas Midthune, Dennis W. Buckman, Kevin W. Dodd, Susan M. Krebs‐Smith, Amy F. Subar, Janet A. Tooze, Raymond J. Carroll, Laurence S. Freedman
Summary Dietary assessment of episodically consumed foods gives rise to nonnegative data that have excess zeros and measurement error. hiện toàn bộ
Equivalence of MAXENT and Poisson Point Process Models for Species Distribution Modeling in Ecology
Biometrics - Tập 69 Số 1 - Trang 274-281 - 2013
Ian Renner, David I. Warton
SummaryModeling the spatial distribution of a species is a fundamental problem in ecology. A number of modeling methods have been developed, an extremely popular one being MAXENT, a maximum entropy modeling approach. In this article, we show that MAXENT is equivalent to a Poisson regression model and hence is related to a Poisson point proces...... hiện toàn bộ
Some Consequences When the Assumptions for the Analysis of Variance are not Satisfied
Biometrics - Tập 3 Số 1 - Trang 22 - 1947
W. G. Cochran
A Smoothing-Based Goodness-of-Fit Test of Covariance for Functional Data
Biometrics - 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
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