Review and Comparison of Computational Approaches for Joint Longitudinal and Time‐to‐Event Models

Author:

Furgal Allison K.C.1ORCID,Sen Ananda12,Taylor Jeremy M.G.1

Affiliation:

1. Biostatistics Department, School of Public HealthUniversity of Michigan 1415 Washington Heights Ann Arbor 48109 MI USA

2. Department of Family Medicine, Michigan MedicineUniversity of Michigan 1018 Fuller St Ann Arbor 48104 MI USA

Publisher

Wiley

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Reference64 articles.

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4. Quantifying and comparing dynamic predictive accuracy of joint models for longitudinal marker and time-to-event in presence of censoring and competing risks

5. Brown E.R.2005.Software.http://faculty.washington.edu/elizab/software.html Accessed: 2018‐02‐05.

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