Identification of the minimum effective dose for normally distributed data using a Bayesian variable selection approach-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Identification of the minimum effective dose for normally distributed data using a Bayesian variable selection approach

Published:2017-03-22 Issue:6 Volume:27 Page:1073-1088
ISSN:1054-3406
Container-title:Journal of Biopharmaceutical Statistics
language:en
Short-container-title:Journal of Biopharmaceutical Statistics

Author:

Otava Martin¹,Shkedy Ziv¹,Hothorn Ludwig A.²,Talloen Willem³,Gerhard Daniel⁴^ORCID,Kasim Adetayo⁵

Affiliation:

1. Interuniversity Institute for Biostatistics and Statistical Bioinformatics, Hasselt University, Hasselt, Belgium

2. Institute of Biostatistics, Leibniz University Hannover, Hannover, Germany

3. Janssen, Pharmaceutical companies of Johnson & Johnson, Beerse, Belgium

4. School of Mathematics and Statistics, University of Canterbury, Christchurch, New Zealand

5. Wolfson Research Institute for Health and Wellbeing, Durham University, Queen’s Campus, University Boulevard, Stockton-on-Tees, United Kingdom

Funder

Hasselt University

Publisher

Informa UK Limited

Subject

Pharmacology (medical),Pharmacology,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/10543406.2017.1295247

Reference51 articles.

1. A new look at the statistical model identification

2. An information criterion for parameters under a simple order restriction

3. MCPMod: AnRPackage for the Design and Analysis of Dose-Finding Studies

4. Statistical Analysis of Monotone or Non-monotone Dose–Response Data from In Vitro Toxicological Assays

Cited by 3 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. Generalized Fiducial Inference for Threshold Estimation in Dose–Response and Regression Settings;Journal of Agricultural, Biological and Environmental Statistics;2021-09-13

2. Bayesian model averaging in longitudinal studies using Bayesian variable selection methods;Communications in Statistics - Simulation and Computation;2021-04-19

3. Statistical analysis of no observed effect concentrations or levels in eco-toxicological assays with overdispersed count endpoints;2020-01-15

同舟云学术

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