Phenobarb                package:nlme                R Documentation

Phenobarbitol Kinetics

Description:

     The 'Phenobarb' data frame has 744 rows and 7 columns.

Format:

     This data frame contains the following columns:

     Subject an ordered factor identifying the infant.

     Wt a numeric vector giving the birth weight of the infant (kg).

     Apgar an ordered factor giving the the 5-minute Apgar score for
          the infant.  This is an indication of health of the newborn
          infant.

     ApgarInd a factor indicating whether the 5-minute Apgar score is
          '< 5' or '>= 5'. 

     time a numeric vector giving the time when the sample is drawn or
          drug administered (hr).

     dose a numeric vector giving the dose of drug administered
          (mug/kg).

     conc a numeric vector giving the phenobarbital concentration in
          the serum (mug/L).


Details:

     Data from a pharmacokinetics study of phenobarbital in neonatal
     infants.  During the first few days of life the infants receive
     multiple doses of phenobarbital for prevention of seizures.  At
     irregular intervals blood samples are drawn and serum
     phenobarbital concentrations are determined.  The data were
     originally given in Grasela and Donn(1985) and are analyzed in
     Boeckmann, Sheiner and Beal (1994), in Davidian and Giltinan
     (1995), and in Littell et al. (1996).

Source:

     Pinheiro, J. C. and Bates, D. M. (2000), _Mixed-Effects Models in
     S and S-PLUS_, Springer, New York.  (Appendix A.23)

     Davidian, M. and Giltinan, D. M. (1995), _Nonlinear Models for
     Repeated Measurement Data_,  Chapman and Hall, London.  (section
     6.6)

     Grasela and Donn (1985), Neonatal population pharmacokinetics of
     phenobarbital derived from routine clinical data, _Developmental
     Pharmacology and Therapeutics_, *8*, 374-383.

     Boeckmann, A. J., Sheiner, L. B., and Beal, S. L. (1994), _NONMEM
     Users Guide: Part V_, University of California, San Francisco.

     Littell, R. C., Milliken, G. A., Stroup, W. W. and Wolfinger, R.
     D. (1996), _SAS System for Mixed Models_, SAS Institute, Cary, NC.

