Bayesian inference for a piecewise nonlinear mixed-effects model with skewed distribution and heteroscedasticity with application to an ovarian cancer study
碩士 === 國立中山大學 === 應用數學系研究所 === 105 === In ovarian cancer studies, cancer antigen 125 (CA125) is an important tumor marker which is repeatedly measured over time. We aim to model the CA125 trajectories that can help us understand patients’ prognosis. In longitudinal studies, nonlinear mixed-effects (...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | en_US |
| Published: |
2017
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| Online Access: | http://ndltd.ncl.edu.tw/handle/4qd8n7 |