Statistics in Biosciences

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Control of Nonlinear Biological Systems by Non-minimal State Variable Feedback
Statistics in Biosciences - - 2014
C. James Taylor, Jean‐Marie Aerts
Information Sets and Excess Zeros in Random Effects Modeling of Longitudinal Data
Statistics in Biosciences - Tập 2 - Trang 81-94 - 2010
Tze L. Lai, Kevin H. Sun, Samuel P. Wong
Marginal regression via generalized estimating equations is widely used in biostatistics to model longitudinal data from subjects whose outcomes and covariates are observed at several time points. In this paper we consider two issues that have been raised in the literature concerning the marginal regression approach. The first is that even though the past history may be predictive of outcome, the ...... hiện toàn bộ
Improved Semiparametric Analysis of Polygenic Gene–Environment Interactions in Case–Control Studies
Statistics in Biosciences - Tập 13 - Trang 386-401 - 2020
Tianying Wang, Alex Asher
Standard logistic regression analysis of case–control data has low power to detect gene–environment interactions, but until recently it was the only method that could be used on complex polygenic data for which parametric distributional models are not feasible. Under the assumption of gene–environment independence in the underlying population, Stalder et al. (Biometrika, 104:801–812, 2017) develop...... hiện toàn bộ
Estimating Heterogeneous Treatment Effect on Multivariate Responses Using Random Forests
Statistics in Biosciences - Tập 15 - Trang 545-561 - 2021
Boyi Guo, Hannah D. Holscher, Loretta S. Auvil, Michael E. Welge, Colleen B. Bushell, Janet A. Novotny, David J. Baer, Nicholas A. Burd, Naiman A. Khan, Ruoqing Zhu
Estimating the individualized treatment effect has become one of the most popular topics in statistics and machine learning communities in recent years. Most existing methods focus on modeling the heterogeneous treatment effects for univariate outcomes. However, many biomedical studies are interested in studying multiple highly correlated endpoints at the same time. We propose a random forest mode...... hiện toàn bộ
Links Between the Sequence Kernel Association and the Kernel-Based Adaptive Cluster Tests
Statistics in Biosciences - Tập 9 - Trang 246-258 - 2017
Weiming Zhang, Michael P. Epstein, Tasha E. Fingerlin, Debashis Ghosh
Two recently developed methods for the analysis of rare variants include the sequence kernel association test (SKAT) and the kernel-based adaptive cluster test (KBAC). While SKAT represents a type of variance component score test, and KBAC computes a weighted integral representing the difference in risk between variants, they appear to be developed using different initial principles. In this note,...... hiện toàn bộ
Irregular Shaped Small Nodule Detection Using a Robust Scan Statistic
Statistics in Biosciences - Tập 15 Số 1 - Trang 141-162 - 2023
Ali Abolhassani, Marcos O. Prates, Safieh Mahmoodi
New Approaches to Principal Component Analysis for Trees
Statistics in Biosciences - Tập 4 - Trang 132-156 - 2012
Burcu Aydın, Gábor Pataki, Haonan Wang, Alim Ladha, Elizabeth Bullitt, J. S. Marron
Object Oriented Data Analysis is a new area in statistics that studies populations of general data objects. In this article we consider populations of tree-structured objects as our focus of interest. We develop improved analysis tools for data lying in a binary tree space analogous to classical Principal Component Analysis methods in Euclidean space. Our extensions of PCA are analogs of one dimen...... hiện toàn bộ
Detecting Shape-Based Interactions Among Environmental Chemicals Using an Ensemble of Exposure-Mixture Regression and Interpretable Machine Learning Tools
Statistics in Biosciences - - Trang 1-21 - 2023
Vishal Midya, Chris Gennings
There is growing interest in discovering interactions between multiple environmental chemicals associated with increased adverse health effects. However, most existing approaches (1) either use a projection or product of multiple chemical exposures, which are difficult to interpret and (2) cannot simultaneously handle multi-ordered interactions. Therefore, we develop and validate a method to disco...... hiện toàn bộ
Post-GWAS Prioritization Through Data Integration Provides Novel Insights on Chronic Obstructive Pulmonary Disease
Statistics in Biosciences - Tập 9 - Trang 605-621 - 2016
Qiongshi Lu, Chentian Jin, Jiehuan Sun, Russell Bowler, Katerina Kechris, Naftali Kaminski, Hongyu Zhao
Rich collections of genomic and epigenomic annotations, availabilities of large population cohorts for genome-wide association studies (GWASs), and advancements in data integration techniques provide the unprecedented opportunity to accelerate discoveries in complex disease studies through integrative analyses. In this paper, we apply a variety of approaches to integrate GWAS summary statistics of...... hiện toàn bộ
Semiparametric Trend Analysis for Stratified Recurrent Gap Times Under Weak Comparability Constraint
Statistics in Biosciences - Tập 15 Số 2 - Trang 455-474 - 2023
Peng Liu, Yijian Huang, Kwun Chuen Gary Chan, Ying Qing Chen
AbstractRecurrent event data are frequently encountered in many longitudinal studies where each individual may experience more than one event. Wang and Chen (Biometrics 56(3):789–794, 2000) proposed a comparability constraint to estimate the time trend for the gap times, where the gap time pairs that satisfy the constraint have the same conditional distribution. Ho...... hiện toàn bộ
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