title: Longitudinal studies with continuous responses.
abstract: The analysis of serial measurements obtained in longitudinal studies plays an increasingly prominent role in applied research. The last few years have seen the development of many new techniques for carrying out analyses, including computer software. These methods can be used in a variety of standard problems, including repeated measures and cross-over designs, as well as growth curve analyses. We review these new methods, their application, and available computer packages. Data from a longitudinal study of lung function is used to illustrate the methods.
authors.affiliation: Department of Biostatistics, Harvard School of Public Health, Boston, MA 02115.
authors.forename: N M
authors.initials: NM
authors.lastname: Laird
authors.forename: C
authors.initials: C
authors.lastname: Donnelly
authors.forename: J H
authors.initials: JH
authors.lastname: Ware
mesh_terms: D000293:Adolescent; D001827:Body Height / Q000502:physiology; D001835:Body Weight / Q000502:physiology; D002648:Child; D006801:Humans; D016013:Likelihood Functions; D016014:Linear Models; D008137:Longitudinal Studies; D008168:Lung / Q000254:growth & development; D008432:Mathematical Computing; D012129:Respiratory Function Tests; D012984:Software