Skip to main content

Population Pharmacokinetics in Drug Development

  • Reference work entry
Drug Discovery and Evaluation
  • 982 Accesses

1 List of Acronyms

  • CLtot total clearancepopulation pharmacokinetic

  • CLCR creatinine clearance

  • CONC observed concentration

  • Css concentration at steady-state

  • η random inter-individual variability η∼N(0, ω2)

  • HT height in cm

  • IPRE model predictions for the individual subject with random ηi

  • LBM lean body mass in kg

  • MIC minimum inhibitory concentration

  • NAD naive averaging data method

  • NONMEM nonlinear mixed-effects modeling

  • NPD naive pooled data

  • OF objective function: negative log of probability, − 2ln(Prob), OFV calculated by NONMEM

  • ω2 covariance matrix describing the between subject variability ηi ∼ N(0, ω2)

  • PK pharmacokinetics

  • PPK population pharmacokinetic

  • PRED model predictions for the population with η = 0

  • SEX 1 = male and 2 = female

  • σ2 covariance matrix describing the within subject or residual variability εi ∼ N(0, σ2)

  • STS standard two stage method

  • θ Vector of parameter, describing the fixed effect model

  • V volume of distribution

  • WT body weight [kg]

2 Purpose and Rationale

Variability...

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 389.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Beal S, Sheiner L (1992) NONMEM User Guide. University of California, San Francisco

    Google Scholar 

  • Efron B (1981) Nonparametric estimates of standard error: The jackknife, the bootstrap and other methods. Biometrika 68:589–599

    Article  Google Scholar 

  • FDA (ed) (1999) Guidance for Industry: Population Pharmacokinetics. CP1

    Google Scholar 

  • Grasela T, Sheiner L (1991) Pharmacostatistical modeling for observational data. J Pharmacokin Biopharm 19(3):25S–37S

    Article  Google Scholar 

  • Jelliffe R, Gomis P, Schumitzky A (1990) A population model of genamicin made with a new nonparametric em algorithm. Technical Report 90-4, Laboratory of Applied Pharmacokinetics, University of Southern California School of Medicine, Los Angeles, California, 2250 Alcazar St., CSC 134-B, Los Angeles, CA 90033. (213) 342-1300

    Google Scholar 

  • Mathsoft (ed.) (2002) S-Plus 6.0 for UNIX Users Guide.

    Google Scholar 

  • Press W, Flannery B, Teukolsky S, Vetterling W (1988) Numerical Recipes in C, The Art of Scientific Computing. Cambridge University Press, pp 551–553

    Google Scholar 

  • Rowland M, Sheiner L, Steimer J (eds) (1985) Variability in Drug Therapy: Description, Estimation, and Control. Raven Press, New York

    Google Scholar 

  • Sheiner L (1997) Learning versus confirming in clinical drug development. Clin Pharmacol Ther 61:275–291

    Article  PubMed  CAS  Google Scholar 

  • Sheiner L, Beal S (1980) Evaluation of methods for estimating population pharmacokinetic parameters. I. michaelis–menten model: Routine clinical pharmacokinetic data. J Pharmacokinet Biopharm 8(6):553–571

    Article  PubMed  CAS  Google Scholar 

  • Sheiner L, Grasela T (1991) An introduction to mixed effect modeling: Concepts, definitions, and justification. J Pharmacokinet Biopharm 19(3):11S–24S

    Article  Google Scholar 

  • Sheiner L, Rosenberg B, Barathe V (1977) Estimation of population characteristics of pharmacokinetic parameters from routine clinical data. J Pharmacokinet Biopharm 5(5):445–479

    Article  PubMed  CAS  Google Scholar 

  • Sheiner L, Stanski D, Vozeh S et al. (1979) Simultaneous modeling of pharmacokinetics and pharmacodynamics: Application to d-tubocurarine. Clin Pharmacol Ther 25(3):358–371

    PubMed  CAS  Google Scholar 

  • Steimer J, Mallet A, Mentre F (1985) Estimating interindividual pharmacokinetic variability. In Rowland M et al. (eds) Variability in Drug Therapy: Description, Estimation and Control. Raven Press New York

    Google Scholar 

  • Tanigawara Y, Nomura H, Kagimoto N, Okumura K, Hori R (1995) Premarketing population pharmacokinetic study of levofloxacin in normal subjects and patients with infectious diseases. Biol Pharm Bull 18(2):315–320

    PubMed  CAS  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2006 Springer-Verlag Berlin Heidelberg New York

About this entry

Cite this entry

Weber, W., Rüppel, D. (2006). Population Pharmacokinetics in Drug Development. In: Vogel, H.G., Hock, F.J., Maas, J., Mayer, D. (eds) Drug Discovery and Evaluation. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-29804-5_39

Download citation

Publish with us

Policies and ethics