A Set of Efficient Methods to Generate High-Dimensional Binary Data With Specified Correlation Structures
Author:
Affiliation:
1. Department of Biostatistics, School of Public Health, Yale University, New Haven, CT;
2. Center for Statistical Science, Tsinghua University, Beijing, China;
3. Department of Industrial Engineering, Tsinghua University, Beijing, China
Publisher
Informa UK Limited
Subject
Statistics, Probability and Uncertainty,General Mathematics,Statistics and Probability
Link
https://www.tandfonline.com/doi/pdf/10.1080/00031305.2020.1816213
Reference24 articles.
1. Modelling multivariate binary data with alternating logistic regressions
2. Range of correlation matrices for dependent Bernoulli random variables
3. The Analysis of Multivariate Binary Data
4. A method for multivariate ordinal data generation given marginal distributions and correlations
Cited by 22 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. A simple and effective method for simulating nested exchangeable correlated binary data for longitudinal cluster randomised trials;BMC Medical Research Methodology;2024-08-08
2. Generating contingency tables with fixed marginal probabilities and dependence structures described by loglinear models;Journal of Statistical Computation and Simulation;2024-06-15
3. Statistical inference for agreement between multiple raters on a binary scale;British Journal of Mathematical and Statistical Psychology;2024-01-17
4. Tuning parameters for polygenic risk score methods using GWAS summary statistics from training data;Nature Communications;2024-01-02
5. High-Dimensional Asymptotic Behavior of Inference Based on Gwas Summary Statistics;Statistica Sinica;2024
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3