A Simple and Powerful Method for the Estimation of Intervention Effects on Serological Endpoints Using Paired Interval-Censored Data-Reference-Cited by-同舟云学术

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A Simple and Powerful Method for the Estimation of Intervention Effects on Serological Endpoints Using Paired Interval-Censored Data

Published:2015-01-02 Issue:1 Volume:25 Page:124-136
ISSN:1054-3406
Container-title:Journal of Biopharmaceutical Statistics
language:en
Short-container-title:Journal of Biopharmaceutical Statistics

Author:

Xu Ying,Lam K. F.,Ooi Eng Eong,Wilder-Smith Annelies,Paton Nicholas I.,Lee Lawrence S.,Cheung Yin Bun

Publisher

Informa UK Limited

Subject

Pharmacology (medical),Pharmacology,Statistics and Probability

Link

http://www.tandfonline.com/doi/pdf/10.1080/10256018808623883

Reference28 articles.

1. 2009 Influenza A(H1N1) Seroconversion Rates and Risk Factors Among Distinct Adult Cohorts in Singapore

2. On Transformations Used in the Analysis of Variance

3. Analysis of Doubly-Censored Survival Data, with Application to AIDS

4. Applying the Cox proportional hazards model for analysis of latency data with interval censoring

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. Regression Analysis of Fold-Increase Endpoints Using a Distributional Approach for Paired Interval-Censored Antibody Data;Statistics in Biopharmaceutical Research;2018-09-05

2. Sample size determination for fold-increase endpoints defined by paired interval-censored data;Journal of Biopharmaceutical Statistics;2016-05-13

3. Estimation of intervention effect using paired interval-censored data with clumping below lower detection limit;Statistics in Medicine;2014-10-27

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