Methods for Multilevel Ordinal Data in Prevention Research
Author:
Publisher
Springer Science and Business Media LLC
Subject
Public Health, Environmental and Occupational Health
Link
http://link.springer.com/content/pdf/10.1007/s11121-014-0495-x.pdf
Reference43 articles.
1. Agresti, A. (2002). Categorical data analysis (2nd ed.). Hoboken: Wiley.
2. Agresti, A., & Natarajan, R. (2001). Modeling clustered ordered categorical data: A survey. International Statistical Review, 69, 345–371.
3. Armstrong, B. G., & Sloan, M. (1989). Ordinal regression models for epidemiologic data. American Journal of Epidemiology, 129, 191–204.
4. Bauer, D. J., & Sterba, S. K. (2011). Fitting multilevel models with ordinal outcomes: Performance of alternative specifications and methods of estimation. Psychological Methods, 16, 337–390.
5. Bock, R. D., & Shilling, S. (1997). High-dimensional full-information item factor analysis. In M. Berkane (Ed.), Latent variable modeling and applications to causality (pp. 163–176). New York: Springer.
Cited by 44 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. Efectividad y seguridad de los fármacos biológicos y las moléculas pequeñas en la hidradenitis supurativa: experiencia en un centro terciario y propuesta de un algoritmo terapéutico;Piel;2024-06
2. Associations of obesity, movement behaviors, and socioeconomic status with fundamental movement skills in children: Results from the REACT project;American Journal of Human Biology;2024-05-25
3. Multilevel Ordinal Logit Models: A Proportional Odds Application Using Data from Brazilian Higher Education Institutions;Axioms;2024-01-12
4. Structural barriers to health care as risk factors for preterm and small-for-gestational-age birth among US-born Black and White mothers;Health & Place;2024-01
5. ‘I have had several providers who recognize my humanity’: exploring the overall health and positive healthcare interactions of transgender and gender diverse college students;Journal of LGBT Youth;2023-12-28
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