Statistics in Biosciences
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A New Bayesian Two-Sample t Test and Solution to the Behrens–Fisher Problem Based on Gaussian Mixture Modelling with Known Allocations
Statistics in Biosciences - - 2021
Testing differences between a treatment and control group is common practice in biomedical research like randomized controlled trials (RCT). The standard two-sample t test relies on null hypothesis significance testing (NHST) via p values, which has several drawbacks. Bayesian alternatives were recently introduced using the Bayes factor, which has its own limitations. This paper introduces an alte...... hiện toàn bộ
Empirical Bayes Estimation and Prediction Using Summary-Level Information From External Big Data Sources Adjusting for Violations of Transportability
Statistics in Biosciences - Tập 10 - Trang 568-586 - 2018
Large external data sources may be available to augment studies that collect data to address a specific research objective. In this article we consider the problem of building regression models for prediction based on individual-level data from an “internal” study while incorporating summary information from an “external” big data source. We extend the work of Chatterjee et al. (J Am Stat Assoc 11...... hiện toàn bộ
A Semi-nonparametric Approach to Joint Modeling of A Primary Binary Outcome and Longitudinal Data Measured at Discrete Informative Times
Statistics in Biosciences - Tập 4 - Trang 213-234 - 2012
In a study conducted at the New York University Fertility Center, one of the scientific objectives is to investigate the relationship between the final pregnancy outcomes of participants receiving an in vitro fertilization (IVF) treatment and their β-human chorionic gonadotrophin (β-hCG) profiles. A common joint modeling approach to this objective is to use subject-specific normal random effects i...... hiện toàn bộ
Causal Inference with Secondary Outcomes
Statistics in Biosciences - - Trang 1-14 - 2023
In this paper, we develop new methods for identifying causal effects in the presence of unmeasured confounding with continuous treatment and outcome. Under a set of linear structural equation models, we invent two identification strategies by introducing a secondary outcome. Specifically, we utilize the symmetry and asymmetry properties of distributions of random variables to achieve identificatio...... hiện toàn bộ
Một Phương Pháp Kiểm Định Phi Tham Số Dựa trên So Sánh Cặp Địa Phương của Bệnh Nhân cho Các Điểm Kết Cục Đơn và Tổ Hợp Dịch bởi AI
Statistics in Biosciences - Tập 15 - Trang 419-429 - 2023
Trong bài viết này, chúng tôi đề xuất một phương pháp điều chỉnh cho các yếu tố tiên đoán chính khi tiến hành một loại kiểm định phi tham số dựa trên so sánh cặp giữa các đối tượng, cụ thể là kiểm định Wilcoxon–Mann–Whitney, kiểm định Gehan và kiểm định Finkelstein-Schoenfeld. Ý tưởng là chỉ so sánh các đối tượng có thể so sánh lẫn nhau dựa trên các yếu tố tiên đoán chính này và một tiêu chí so sá...... hiện toàn bộ
#kiểm định phi tham số #so sánh cặp #yếu tố tiên đoán #kiểm định Wilcoxon #kiểm định Gehan #kiểm định Finkelstein-Schoenfeld
A Model-Based Approach to Detection Limits in Studying Environmental Exposures and Human Fecundity
Statistics in Biosciences - Tập 11 - Trang 524-547 - 2019
Human exposure to persistent environmental pollutants often results in concentrations with a range of values below the laboratory detection limits. Growing evidence suggests that inadequate handling of concentrations below the limit of detection (LOD) may bias assessment of health effects in relation to environmental exposures. We seek to quantify such bias in models focusing on the day-specific p...... hiện toàn bộ
Valuing Sets of Potential Transplants in a Kidney Paired Donation Network
Statistics in Biosciences - Tập 10 - Trang 255-279 - 2018
In kidney paired donation (KPD), incompatible donor–candidate pairs and non-directed (also known as altruistic) donors are pooled together with the aim of maximizing the total utility of transplants realized via donor exchanges. We consider a setting in which disjoint sets of potential transplants are selected at regular intervals, with fallback options available within each proposed set in the ca...... hiện toàn bộ
Bivariate Mixed Effects Analysis of Clustered Data with Large Cluster Sizes
Statistics in Biosciences - Tập 8 - Trang 220-233 - 2016
Linear mixed effects models are widely used to analyze a clustered response variable. Motivated by a recent study to examine and compare the hospital length of stay (LOS) between patients undertaking percutaneous coronary intervention (PCI) and coronary artery bypass graft (CABG) from several international clinical trials, we proposed a bivariate linear mixed effects model for the joint modeling o...... hiện toàn bộ
Brain Connectivity-Informed Regularization Methods for Regression
Statistics in Biosciences - Tập 11 - Trang 47-90 - 2017
One of the challenging problems in brain imaging research is a principled incorporation of information from different imaging modalities. Frequently, each modality is analyzed separately using, for instance, dimensionality reduction techniques, which result in a loss of mutual information. We propose a novel regularization method to estimate the association between the brain structure features and...... hiện toàn bộ
Introduction to Special Issue on Leveraging External Data to Improve Trial Efficiency
Statistics in Biosciences - Tập 14 - Trang 193-196 - 2022
Tổng số: 291
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