title: A PC program for computing McMahan's tracking indices from one-sample longitudinal data sets.
abstract: Tracking refers to regular, predictable growth behavior. Most definitions of the term are related to the idea that tracking occurs to the extent that individuals' repeated measurements maintain their relative positions in the distribution of the measurement whose growth is being monitored as that distribution changes over time. In this paper we describe four indices of tracking, all due to McMahan (Biometrics, 37 (1981) 447-455), which may be used to measure the extent to which a given longitudinal sample exhibits this 'regular behavior,' and we provide a program, written in GAUSS386i, for performing the associated computations. An example is given, and the values of McMahan's indices are compared to several alternative measures of tracking.
authors.affiliation: Department of Public Health Sciences, Baylor College of Dentistry, Dallas, TX 75266-0677.
authors.forename: I Y
authors.initials: IY
authors.lastname: Guo
authors.forename: T R
authors.initials: TR
authors.lastname: Ten Have
authors.forename: C J
authors.initials: CJ
authors.lastname: Kowalski
authors.forename: E D
authors.initials: ED
authors.lastname: Schneiderman
authors.forename: S M
authors.initials: SM
authors.lastname: Willis
mesh_terms: D000465:Algorithms; D005544:Forecasting; D006128:Growth / Q000502:physiology*; D006801:Humans; D016015:Logistic Models; D008137:Longitudinal Studies; D008838:Microcomputers; D008954:Models, Biological; D011381:Programming Languages; D012984:Software; D013997:Time Factors