Works Published in 2000

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2000 journal article

Consequences of misspecifying assumptions in nonlinear mixed effects models

COMPUTATIONAL STATISTICS & DATA ANALYSIS, 34(2), 139–164.

author keywords: random effects; nonnormality; Laplace approximation; linearization
TL;DR: The consequences for population inferences using popular methods for fitting nonlinear mixed effects models when the normality assumption is inappropriate and/or the model is misspecified are investigated. (via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being (Web of Science; OpenAlex)
Sources: Web Of Science, ORCID
Added: August 6, 2018

2000 journal article

Correcting for measurement error in individual-level covariates in nonlinear mixed effects models

BIOMETRICS, 56(2), 368–375.

By: H. Ko & M. Davidian n

author keywords: laplace's approximation; random effects; regression calibration; small sigma
MeSH headings : Biometry / methods; Calibration; Models, Statistical; Pharmacokinetics; Regression Analysis; Virus Physiological Phenomena
TL;DR: Methods to take account of measurement error that correct this bias are developed and may be implemented with standard software and demonstrated their utility via simulation and application to data from a study of HIV dynamics. (via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being (Web of Science; OpenAlex)
Sources: Web Of Science, ORCID
Added: August 6, 2018

2000 journal article

Estimating data transformations in nonlinear mixed effects models

BIOMETRICS, 56(1), 65–72.

By: A. Oberg* & M. Davidian n

author keywords: Laplace's approximation; nonlinear mixed effects model; random effects; repeated measurements; small sigma; transform both sides
MeSH headings : Arginine / analogs & derivatives; Biometry / methods; Data Interpretation, Statistical; Humans; Infant, Newborn; Infant, Premature; Likelihood Functions; Monte Carlo Method; Nonlinear Dynamics; Phenobarbital / pharmacokinetics; Pipecolic Acids / pharmacokinetics; Sulfonamides
TL;DR: A mixed effects framework based on the transform‐both‐sides model, where the transformation is represented by a monotone parametric function and is estimated from the data, is proposed, allowing straightforward implementation via standard software. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Web Of Science, ORCID
Added: August 6, 2018

2000 article

Differences in viral dynamics between genotypes 1 and 2 of hepatitis C virus

Neumann, A. U., Lam, N. P., Dahari, H., Davidian, M., Wiley, T. E., Mika, B. P., … Layden, T. J. (2000, July). JOURNAL OF INFECTIOUS DISEASES, Vol. 182, pp. 28–35.

By: A. Neumann*, N. Lam*, H. Dahari*, M. Davidian n, T. Wiley*, B. Mika*, A. Perelson*, T. Layden*

MeSH headings : Antiviral Agents / therapeutic use; Apoptosis; Female; Genotype; Hepacivirus / genetics; Hepacivirus / physiology; Hepatitis C / drug therapy; Hepatitis C / immunology; Hepatitis C / pathology; Hepatitis C / virology; Humans; Interferon-alpha / therapeutic use; Male; Metabolic Clearance Rate; Middle Aged; Models, Theoretical; RNA, Viral / metabolism
TL;DR: The better response rate of patients infected with HCV genotype 2 is multifactorial, the first finding of a difference in viral dynamics between subtypes of the same virus and demonstrates the importance of subtype-specific virus-host-drug interactions. (via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being (Web of Science; OpenAlex)
Sources: Web Of Science, ORCID
Added: August 6, 2018

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