PC PROGRAM EXTENDING THE POTTHOFF-ROY LONGITUDINAL DATA-ANALYSIS MODEL TO ALLOW MISSING DATA - KLEINBAUMS METHOD

Authors
GUO IY SCHNEIDERMAN ED KOWALSKI CJ WILLIS SM
Citation
Iy. Guo et al., PC PROGRAM EXTENDING THE POTTHOFF-ROY LONGITUDINAL DATA-ANALYSIS MODEL TO ALLOW MISSING DATA - KLEINBAUMS METHOD, International journal of bio-medical computing, 38(3), 1995, pp. 243-255
Citations number
18
Categorie Soggetti
Mathematical Methods, Biology & Medicine","Engineering, Biomedical","Computer Science Interdisciplinary Applications","Computer Science Theory & Methods
Journal title
International journal of bio-medical computing → ACNP
ISSN journal
00207101
Volume
38
Issue
3
Year of publication
1995
Pages
243 - 255
Database
ISI
SICI code
0020-7101(1995)38:3<243:PPETPL>2.0.ZU;2-W
Abstract
Potthoff and Roy (Biometrika, 51 (1964) 313-326) generalized the multi variate analysis of variance model into a form that is especially usef ul for the study of longitudinal growth curve data. Applications of th is method have, however, been limited by the requirement that each cas e 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 ma ke available a user-friendly, interactive PC program implementing Klei nbaum's (J Mult Anal, 3 (1973) 117-124) extension of the Potthoff-Roy model to allow incomplete measurement sequences. These missing data ar e permitted to arise either randomly or by design as in mixed longitud inal studies.