Longer-term growth prediction using GAUSS. Academic Article uri icon


  • In several areas of biomedicine, one needs to predict future measurements for a growing individual on the basis of longitudinal data. Here we consider the problem of estimating the values of a given measurement for a particular individual at T-T* points in time, given T* observations on that individual, and all T values for a sample of N "similar" individuals. This extends our previous discussion [Schneiderman et al., Comput. Biol. Med. 22, 181-188 (1992)], which was limited to the case T* = T-1, to longer-term predictions. We again make a user-friendly GAUSS program available to perform the associated computations. Examples illustrating the use of the program and the accuracy of the predictions it provides are included.

published proceedings

  • Comput Biol Med

author list (cited authors)

  • Schneiderman, E. D., Willis, S. M., Kowalski, C. J., & Ten Have, T. R.

citation count

  • 3

complete list of authors

  • Schneiderman, ED||Willis, SM||Kowalski, CJ||Ten Have, TR

publication date

  • January 1993