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JM: AnRPackage for the Joint Modelling of Longitudinal and Time-to-Event Data
2010
Journal of Statistical Software
In longitudinal studies measurements are often collected on different types of outcomes for each subject. These may include several longitudinally measured responses (such as blood values relevant to the medical condition under study) and the time at which an event of particular interest occurs (e.g., death, development of a disease or dropout from the study). These outcomes are often separately analyzed; however, in many instances, a joint modeling approach is either required or may produce a
doi:10.18637/jss.v035.i09
fatcat:vzm3p7c2hzcmzhrk7g536f3m2a