Biometrics

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Processing Data for Outliers
Biometrics - Tập 9 Số 1 - Trang 74 - 1953
W. J. Dixon
Shrinkage Estimators for Covariance Matrices
Biometrics - Tập 57 Số 4 - Trang 1173-1184 - 2001
Michael J. Daniels, Robert E. Kass
The Sampling Variance of the Genetic Correlation Coefficient
Biometrics - Tập 15 Số 3 - Trang 469 - 1959
Alan Robertson
Varying Coefficients Model with Measurement Error
Biometrics - Tập 64 Số 2 - Trang 519-526 - 2008
Liang Li, Tom Greene
SummaryWe propose a semiparametric partially varying coefficient model to study the relationship between serum creatinine concentration and the glomerular filtration rate (GFR) among kidney donors and patients with chronic kidney disease. A regression model is used to relate serum creatinine to GFR and demographic factors in which coefficient of GFR is expressed as a function of age to allow its e... hiện toàn bộ
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 clusters. The results have appli... hiện toàn bộ
Empirical Bayes Estimates of Age-Standardized Relative Risks for Use in Disease Mapping
Biometrics - Tập 43 Số 3 - Trang 671 - 1987
Andrew D. Paterson, John Kaldor
Joint Principal Trend Analysis for Longitudinal High-dimensional Data
Biometrics - Tập 74 Số 2 - Trang 430-438 - 2018
Yuping Zhang, Zhengqing Ouyang
Summary We consider a research scenario motivated by integrating multiple sources of information for better knowledge discovery in diverse dynamic biological processes. Given two longitudinal high-dimensional datasets for a group of subjects, we want to extract shared latent trends and identify relevant features. To solve this problem, we present a new statistical method named as joint principal t... 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 taxa. Taxa count data in microbiom... hiện toàn bộ
Model-Based Gaussian and Non-Gaussian Clustering
Biometrics - Tập 49 Số 3 - Trang 803 - 1993
Jeffrey D. Banfield, Adrian E. Raftery
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 test for comparing microbiome populations between two or mor... hiện toàn bộ
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