Re: [R] multiple imputation of longitudinal, time-unstructured data

Pam, Please let me know what you discover. I just started looking at a similar problem. I understand that a Kalman filter can sometimes be applied to this problem, but at this time I don't know how to accomplish this. John John David Sorkin M.D., Ph.D. Professor of Medicine Chief, Biostatistics

[R] multiple imputation of longitudinal, time-unstructured data

Hello! I have a longitudinal dataset of radiation exposures of an occupational cohort. A percentage of the exposure values are missing and I would like to multiply impute the missing values (it is one option of several we are comparing). The data are recorded in long format (one row for each expos