nonlinear mixed effects modeling: 20 years later mixed effects modeling: 20 years later marie...
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Nonlinear Mixed Effects Modeling:
20 Years Later
Marie Davidian
Department of StatisticsNorth Carolina State University
http://www4.stat.ncsu.edu/~davidian
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1995
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How I Got There
• PhD, 1987, Statistics, University of North Carolina-Chapel Hill
• Assistant Professor, Department of Statistics, North
Carolina State University
• Around 1989 , Soybean growth study (Section 11.2)
• Very different application, same problem. . .
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Partners in Crime
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Pre-1995
• Davidian, M. and Giltinan, D.M. (1993). Some simple
methods for estimating intraindividual variability in nonlinear
mixed effects models. Biometrics, 49, 59–73.
• Davidian, M. and Giltinan, D.M. (1993). Some general
estimation methods for nonlinear mixed effects models.
Journal of Biopharmaceutical Statistics, 3, 23–55.
• Davidian, M. and Gallant, A.R. (1992). Smooth
nonparametric maximum likelihood for population
pharmacokinetics, with application to quinidine. Journal of
Pharmacokinetics and Biopharmaceutics, 20, 529–556.
• Davidian, M. and Gallant, A.R. (1993). The nonlinear mixed
effects model with a smooth random effects density.
Biometrika, 80, 475–488.
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Statisticians Get Involved
• Lindstrom, M. J. and Bates, D. M. (1990). Nonlinear mixed effects models
for repeated measures data. Biometrics, 46, 673-687.
• Pinheiro, J. C., and Bates, D. M. (1995). Approximations to the
log-likelihood function in the nonlinear mixed-effects model. Journal of
Computational and Graphical Statistics, 4, 12–35.
• Wakefield, J. (1996). The Bayesian analysis of population
pharmacokinetic models. Journal of the American Statistical
Association, 91, 62–75 (submitted 1993).
• Vonesh, E. F. (1992). Non-linear models for the analysis of longitudinal data.
Statistics in Medicine, 11, 1929–1954.
• Wolfinger, R. (1993). Laplace’s approximation f nonlinear mixed models.
Biometrika, 80, 791–795.
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1995
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Clarification
Kitty
1989 – 2011
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December 1994
Cottonwood Café, Boston, Massachusetts
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January 7, 1995
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January 7, 1995
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June 1995
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1996 – NLMEMs Are A Hot Topic
Biopharmaceutical Applied Statistics Symposium (BASS) III,
1996, San Diego, California
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More Statisticians
• Gelman, A., Bois, F., and Jiang, J. (1996). Physiological pharmacokinetic
analysis using population modeling and informative prior distributions. JASA ,
91, 1400–1412. (MCSim )
• Rosner, G. L. and Mueller, P. (1997). Bayesian population pharmacokinetic-
pharmacodynamic analysis using mixture models. Journal of
Pharmacokinetics and Biopharmaceutics, 25, 209–233.
• Galecki, A. T. (1998). NLMEM: New SAS/IML macro for hierarchical nonlinear
models. Computer Methods and Programs in Biomedicine, 55, 207–16.
• Wu, H. and Ding, A. (1999). Population HIV-1 dynamics in vivo: Applicable
models and inferential tools for virological data from AIDS clinical trials.
Biometrics, 55, 410–418.
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Late 1990s/Early 2000s – Explosion of Interest
• Roe, D. J. (1997). Comparison of population pharmacokinetic
modeling methods using simulated data: Results from the Population
Modeling Workgroup. Statistics in Medicine, 16, 1241–1262.
• Racine-Poon, A. and Wakefield, J. (1998). Statistical methods for
population pharmacokinetic modelling. Statistical Methods in
Medical Research. 7, 63-84.
• Wolfinger, R. D. (1999). Fitting nonlinear mixed models with the new
NLMIXED procedure. Cary, NC: SAS Institute, 1999. (Paper 287).
(proc nlmixed)
• Pinheiro, J. C. and D. M. Bates. (2000). Mixed-Effects Models in S
and S-PLUS. New York, Springer. (nlme)
• Lunn, D. J., Best, N., Thomas, A., Wakefield, J., and Spiegelhalter,
D. (2002). Bayesian analysis of population PK/PD models: General
concepts and software. Journal of Pharmacokinetics and
Pharmacodynamics, 29, 271–307 (PKBugs)
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2003 – Update
Davidian, M. and Giltinan, D. M. (2003). Nonlinear models for
repeated measurements: An overview and update. Editor’s
Invited paper, Journal of Agricultural, Biological, and
Environmental Statistics, 8, 387-419.
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Data and Model
Data: i = 1, . . . , N subjects
• Concentrations Y i1, . . . , Y ini at times ti1 < · · · < tini
• Within-subject conditions of observation Ui (doses,
dosing intervals, etc)
• Subject characteristics Zi (covariates; could vary over time),
e.g., weight, age, gender, renal function, genetic
Individual model:
• PK model f
Y i j= f (tij, Ui , φi) + eij
• Subject-specific PK parameters φi
Population model:
• Fixed effects θ
φi = d (Zi, θ, ηi)
• Random effects ηi (often assumed normal but need not be)
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Conceptual Perspective
0 50 100 150 200 250 300 350
0
Concentr
atio
n
200
400
600
80
0
1000
Time
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Conceptual Perspective
Y i j at times tij are intermittent observations (possibly measured
with error ) on an subject-specific stochastic process
Y i(t, Ui) = f (t, Ui, φi) + e R ,i(t, Ui) + e M,i(t, Ui)
e i(t, Ui) = e R ,i(t, Ui) + e M,i(t, Ui)
• f (t, Ui , φi) is i’s “inherent tendency ” of concentration over
time under conditions Ui
• e R ,i(t, Ui) mean-zero deviation of realization of process,
auto-correlated over time
• e M,i(t, Ui) mean-zero measurement error deviation
• Assumptions on e R ,i(t, Ui) and e M,i(t, Ui) lead to
assumptions on e i(t, Ui) and thus on eij
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Ongoing Methodological Challenges
• Computational strategies for
implementation (likelihood/Bayesian)
• Measurement error in covariates (Zi)
• Missing covariates (Zi)
• Censoring (Y ij, Zi)
• Joint modeling of PK/PD and survival/clinical outcomes
• Modeling and simulation
• Population model specification/covariate selection (d , Zi)
• High-dimensional covariates (Zi) (e.g., genetic association
with PK)
• . . .
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20 Years Later
• The nonlinear mixed effects model is now a routine
framework for both statisticians and pharmacokineticists
• Involves pharmacological and statistical components
• Further progress will continue to benefit from collaboration
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Dedication
Lewis B. Sheiner
1940 – 2004
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