Joint Models for Longitudinal and Time-to-Event Data: With Applications in R... New Eighth Edition fosters your understanding

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Joint Models for Longitudinal and Time-to-Event Data: With Applications in R... New Eighth Edition fosters your understandingDescription In longitudinal studies it is often of interest to investigate how a marker that is repeatedly measured in time is associated with a time to an event of interest, e. g., prostate cancer studies where longitudinal PSA level measurements are collected in conjunction with the time to recurrence. Joint Models for Longitudinal and Time to Event Data: With Applications in R provides a full treatment of random effects joint models for