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Estimating data transformations in nonlinear mixed effects models
Ann Oberg
, Marie Davidian
Quantitative Health Sciences
Research output
:
Contribution to journal
›
Article
›
peer-review
27
Scopus citations
Overview
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Dive into the research topics of 'Estimating data transformations in nonlinear mixed effects models'. Together they form a unique fingerprint.
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Mathematics
Data Transformation
100%
Nonlinear Mixed Effects Model
97%
Mixed Effects
30%
Mixed Effects Model
29%
Marginal Likelihood
29%
Repeated Measurements
29%
Pharmacokinetics
28%
Complications
27%
Fixed Effects
27%
Standards
25%
Standard error
24%
Normality
21%
Software
20%
Regression Model
19%
Monotone
18%
Transform
17%
Strategy
16%
Model
15%
Estimator
13%
Framework
13%
Approximation
11%
Chemical Compounds
Chemical Transformation
44%
Pharmacokinetics
17%
Error
17%
Modification
12%
Application
7%
Medicine & Life Sciences
Software
26%
Pharmacokinetics
26%
Growth
17%
Engineering & Materials Science
Pharmacokinetics
24%
Mathematical transformations
18%
Agriculture & Biology
pharmacokinetics
17%