Theoph {stats} | R Documentation

## Pharmacokinetics of theophylline

### Description

The `Theoph` data frame has 132 rows and 5 columns of data from an experiment on the pharmacokinetics of theophylline.

### Usage

    data(Theoph)

### Format

This data frame contains the following columns:

Subject
  an ordered factor with levels `1`, ..., `12` identifying the subject on whom the observation was made. The ordering is by increasing maximum concentration of theophylline observed.
Wt
  weight of the subject (kg).
Dose
  dose of theophylline administered orally to the subject (mg/kg).
Time
  time since drug administration when the sample was drawn (hr).
conc
  theophylline concentration in the sample (mg/L).

### Details

Boeckmann, Sheiner and Beal (1994) report data from a study by Dr. Robert Upton of the kinetics of the anti-asthmatic drug theophylline. Twelve subjects were given oral doses of theophylline then serum concentrations were measured at 11 time points over the next 25 hours.

These data are analyzed in Davidian and Giltinan (1995) and Pinheiro and Bates (2000) using a two-compartment open pharmacokinetic model, for which a self-starting model function, `SSfol`, is available.

### Source

Boeckmann, A. J., Sheiner, L. B. and Beal, S. L. (1994), NONMEM Users Guide: Part V, NONMEM Project Group, University of California, San Francisco.

Davidian, M. and Giltinan, D. M. (1995) Nonlinear Models for Repeated Measurement Data, Chapman & Hall (section 5.5, p. 145 and section 6.6, p. 176)

Pinheiro, J. C. and Bates, D. M. (2000) Mixed-effects Models in S and S-PLUS, Springer (Appendix A.29)

### See Also

`SSfol`

### Examples

    data(Theoph)
    coplot(conc ~ Time | Subject, data = Theoph, show = FALSE)
    Theoph.4 <- subset(Theoph, Subject == 4)
    fm1 <- nls(conc ~ SSfol(Dose, Time, lKe, lKa, lCl),
               data = Theoph.4)
    summary(fm1)
    plot(conc ~ Time, data = Theoph.4,
         xlab = "Time since drug administration (hr)",
         ylab = "Theophylline concentration (mg/L)",
         main = "Observed concentrations and fitted model",
         sub  = "Theophylline data - Subject 4 only",
         las = 1, col = 4)
    xvals <- seq(0, par("usr")[2], len = 55)
    lines(xvals, predict(fm1, newdata = list(Time = xvals)),
          col = 4)

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