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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