Jointly modelling longitudinal process with measurement errors, missing data, and outliers.
In many longitudinal studies, several longitudinal processes may be associated. For example, a time-dependent covariate in a longitudinal model may be measured with errors or have missing data, so it needs to be modeled together with the response process in order to address the measurement errors an...
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| Language: | English |
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University of British Columbia
2013
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| Online Access: | http://hdl.handle.net/2429/44937 |
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