Modeling longitudinal data with interval censored anchoring events
Indiana University-Purdue University Indianapolis (IUPUI) === In many longitudinal studies, the time scales upon which we assess the primary outcomes are anchored by pre-specified events. However, these anchoring events are often not observable and they are randomly distributed with unknown distri...
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| Language: | en_US |
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2018
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| Online Access: | http://hdl.handle.net/1805/16278 https://doi.org/10.7912/C2XD2Q |