Please use this identifier to cite or link to this item: https://doi.org/10.1080/10543406.2014.919936
Title: A simple and powerful method for the estimation of intervention effects on serological endpoints using paired interval-censored data
Authors: Xu, Ying 
Lam, K.F.
Ooi, Eng Eong 
Wilder-Smith, Annelies 
Paton, Nicholas Iain James 
Lee, Soon-U Lawrence 
Cheung, Yin Bun 
Issue Date: 2-Jan-2015
Publisher: Taylor & Francis
Citation: Xu, Ying, Lam, K.F., Ooi, Eng Eong, Wilder-Smith, Annelies, Paton, Nicholas Iain James, Lee, Soon-U Lawrence, Cheung, Yin Bun (2015-01-02). A simple and powerful method for the estimation of intervention effects on serological endpoints using paired interval-censored data. Journal of Biopharmaceutical Statistics 25 (1) : 124-136. ScholarBank@NUS Repository. https://doi.org/10.1080/10543406.2014.919936
Source Title: Journal of Biopharmaceutical Statistics
URI: http://scholarbank.nus.edu.sg/handle/10635/119192
ISSN: 10543406
15205711
DOI: 10.1080/10543406.2014.919936
Appears in Collections:Staff Publications

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