A simple and powerful method for the estimation of intervention effects on serological endpoints using paired interval-censored data

A simple and powerful method for the estimation of intervention effects on serological endpoints using paired interval-censored data

Journal of Biopharmaceutical Statistics

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Bibliographic Details
Main Authors: Xu Ying, Lam K.F., Ooi Eng Eong, Wilder-Smith Annelies, Paton Nicholas I., Cheung Yin Bun
Other Authors: DUKE-NUS GRADUATE MEDICAL SCHOOL S'PORE
Format: Article
Published: Taylor and Francis 2016
Online Access:http://scholarbank.nus.edu.sg/handle/10635/123483
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Institution: National University of Singapore
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Summary:Journal of Biopharmaceutical Statistics

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