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\name{Phenobarb}\alias{Phenobarb}\title{Phenobarbitol Kinetics}\description{The \code{Phenobarb} data frame has 744 rows and 7 columns.}\format{This data frame contains the following columns:\describe{\item{Subject}{an ordered factor identifying the infant.}\item{Wt}{a numeric vector giving the birth weight of the infant (kg).}\item{Apgar}{an ordered factor giving the the 5-minute Apgar score forthe infant. This is an indication of health of the newborninfant.}\item{ApgarInd}{a factor indicating whether the 5-minute Apgar score is \code{< 5}or \code{>= 5}.}\item{time}{a numeric vector giving the time when the sample is drawn ordrug administered (hr).}\item{dose}{a numeric vector giving the dose of drug administered(\eqn{u}{\mu}g/kg).}\item{conc}{a numeric vector giving the phenobarbital concentration inthe serum (\eqn{u}{\mu}g/L).}}}\details{Data from a pharmacokinetics study of phenobarbital in neonatalinfants. During the first few days of life the infants receivemultiple doses of phenobarbital for prevention of seizures. Atirregular intervals blood samples are drawn and serum phenobarbitalconcentrations are determined. The datawere originally given in Grasela and Donn(1985) and are analyzedin Boeckmann, Sheiner and Beal (1994), inDavidian and Giltinan (1995), and in Littell et al. (1996).}\source{Pinheiro, J. C. and Bates, D. M. (2000), \emph{Mixed-Effects Models in Sand S-PLUS}, Springer, New York. (Appendix A.23)Davidian, M. and Giltinan, D. M. (1995), \emph{Nonlinear Models forRepeated Measurement Data}, Chapman and Hall, London. (section 6.6)Grasela and Donn (1985), Neonatal population pharmacokinetics ofphenobarbital derived from routine clinical data,\emph{Developmental Pharmacology and Therapeutics}, \bold{8},374-383.Boeckmann, A. J., Sheiner, L. B., and Beal, S. L. (1994),\emph{NONMEM Users Guide: Part V}, University of California, SanFrancisco.Littell, R. C., Milliken, G. A., Stroup, W. W. and Wolfinger,R. D. (1996), \emph{SAS System for Mixed Models}, SAS Institute,Cary, NC.}\examples{str(Phenobarb)}\keyword{datasets}