Dialyzer                package:nlme                R Documentation

High-Flux Hemodialyzer

Description:

     The 'Dialyzer' data frame has 140 rows and 5 columns.

Format:

     This data frame contains the following columns:

     Subject an ordered factor with levels '10' < '8' < '2' < '6' < '3'
          < '5' < '9' < '7' < '1' < '4' < '17' < '20' < '11' < '12' <
          '16' < '13' < '14' < '18' < '15' < '19' giving the unique
          identifier for each subject

     QB a factor with levels '200' and  '300' giving the bovine blood
          flow rate (dL/min).

     pressure a numeric vector giving the transmembrane pressure
          (dmHg).

     rate the hemodialyzer ultrafiltration rate (mL/hr).

     index index of observation within subject-1 through 7.


Details:

     Vonesh and Carter (1992) describe data measured on high-flux
     hemodialyzers to assess their _in vivo_ ultrafiltration
     characteristics. The ultrafiltration rates (in mL/hr) of 20
     high-flux dialyzers were measured at seven different transmembrane
     pressures (in dmHg). The _in vitro_ evaluation of the dialyzers
     used bovine blood at flow rates of either 200~dl/min or
     300~dl/min. The data, are also analyzed in Littell, Milliken,
     Stroup, and Wolfinger (1996).

Source:

     Pinheiro, J. C. and Bates, D. M. (2000), _Mixed-Effects Models in
     S and S-PLUS_, Springer, New York. (Appendix A.6)

     Vonesh, E. F. and Carter, R. L. (1992), Mixed-effects nonlinear
     regression for unbalanced repeated measures, _Biometrics_, *48*,
     1-18.

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

