PC program extending the Potthoff-Roy longitudinal data analysis model to allow missing data: Kleinbaum's method. Academic Article uri icon


  • Potthoff and Roy (Biometrika, 51 (1964) 313-326) generalized the multivariate analysis of variance model into a form that is especially useful for the study of longitudinal growth curve data. Applications of this method have, however, been limited by the requirement that each case in the sample be measured at the same set of time points, i.e. there can be no missing data. In this paper we describe, illustrate, and make available a user-friendly, interactive PC program implementing Kleinbaum's (J Mult Anal, 3 (1973) 117-124) extension of the Potthoff-Roy model to allow incomplete measurement sequences. These missing data are permitted to arise either randomly or by design as in mixed longitudinal studies.

published proceedings

  • Int J Biomed Comput

author list (cited authors)

  • Guo, I. Y., Schneiderman, E. D., Kowalski, C. J., & Willis, S. M.

citation count

  • 0

complete list of authors

  • Guo, IY||Schneiderman, ED||Kowalski, CJ||Willis, SM

publication date

  • January 1995