title: Exact inference for growth curves with intraclass correlation structure.
abstract: We consider repeated observations taken over time for each of several subjects. For example, one might consider the growth curve of a cohort of babies over time. We assume a simple linear growth curve model. Exact results based on sufficient statistics (exact tests of the null hypothesis that a coefficient is zero, or exact confidence intervals for coefficients) are not available to make inference on regression coefficients when an intraclass correlation structure is assumed. This paper will demonstrate that such exact inference is possible using generalized inference.
authors: Food and Drug Administration, Center for Biologics Evaluation and Research, Maryland 20852-1448, USA.
authors: S
authors: S
authors: Weerahandi
authors: V W
authors: VW
authors: Berger
mesh_terms: D001699:Biometry; D002657:Child Development; D015331:Cohort Studies; D006128:Growth; D006801:Humans; D007223:Infant; D008137:Longitudinal Studies; D008954:Models, Biological; D015233:Models, Statistical; D012044:Regression Analysis