Joint Models for Longitudinal and Time-to-Event Data: With Applications in R provides a full treatment of random effects joint models for longitudinal and time-to-event outcomes that can be utilized to analyze such data
such skills are commonly developed by the empirical trial and error method only
and the input of an international advisory board
The integrative concluding chapter identifies key unanswered questions with important implications for science and practice
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