Two-Stage Joint Model for Multivariate Longitudinal and Multistate Processes, with Application to Renal Transplantation Data
Autor: | Leili Tapak, Mohammad Ali Amirzargar, Hossein Mahjub, Ghodratollah Roshanaei, Behnaz Alafchi |
---|---|
Rok vydání: | 2021 |
Předmět: |
Statistics and Probability
Multivariate statistics medicine.medical_specialty Article Subject business.industry Disease progression Univariate Disease 01 natural sciences QA273-280 Transplantation 010104 statistics & probability 03 medical and health sciences 0302 clinical medicine Physical medicine and rehabilitation Medicine 030212 general & internal medicine 0101 mathematics Stage (cooking) business Probabilities. Mathematical statistics Joint (geology) Event (probability theory) |
Zdroj: | Journal of Probability and Statistics, Vol 2021 (2021) |
ISSN: | 1687-9538 1687-952X |
Popis: | In longitudinal studies, clinicians usually collect longitudinal biomarkers’ measurements over time until an event such as recovery, disease relapse, or death occurs. Joint modeling approaches are increasingly used to study the association between one longitudinal and one survival outcome. However, in practice, a patient may experience multiple disease progression events successively. So instead of modeling of a single event, progression of the disease as a multistate process should be modeled. On the other hand, in such studies, multivariate longitudinal outcomes may be collected and their association with the survival process is of interest. In the present study, we applied a joint model of various longitudinal biomarkers and transitions between different health statuses in patients who underwent renal transplantation. The full joint likelihood approaches are faced with the complexities in computation of the likelihood. So, here, we have proposed two-stage modeling of multivariate longitudinal outcomes and multistate conditions to avoid these complexities. The proposed model showed reliable results compared to the joint model in case of joint modeling of univariate longitudinal biomarker and the multistate process. |
Databáze: | OpenAIRE |
Externí odkaz: |