Data analytic issues, such as handling missing values and time-varying covariates and determining appropriate tree size are discussed. An illustrative example concerning immune function loss in a ...

Stuart R. Lipsitz, Garrett M. Fitzmaurice, Geert Molenberghs, Lue Ping Zhao, Quantile Regression Methods For Longitudinal Data with Drop-Outs: Application to CD4 Cell Counts of Patients Infected with ...

Su emphasized that the framework presented at ISPOR is “not a complete contradiction” with existing methods for handling missing data. Rather, it builds on current research methods.