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Journal of Pharmacokinetics and Pharmacodynamics
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February 22, 2025
The impact of misspecified covariate models on inclusion and omission bias when using fixed effects and full random effects models
Joakim Nyberg, E Niclas Jonsson
CPT: Pharmacometrics & Systems Pharmacology
|
March 30, 2022
A quantitative approach to the choice of number of samples for percentile estimation in bootstrap and visual predictive check analyses
E Niclas Jonsson, Joakim Nyberg
CPT: Pharmacometrics & Systems Pharmacology
|
June 28, 2024
Full random effects models (FREM): A practical usage guide
E Niclas Jonsson, Joakim Nyberg
CPT: Pharmacometrics & Systems Pharmacology
|
February 28, 2024
Using forest plots to interpret covariate effects in pharmacometric models
E Niclas Jonsson, Joakim Nyberg
CPT: Pharmacometrics & Systems Pharmacology
|
April 14, 2026
Objective First, Method Second: Why the Estimand Definition Comes First in Pharmacometric Covariate Modeling
E Niclas Jonsson, Joakim Nyberg, France Mentré
Anesthesiology
|
February 27, 2020
Population Volume Kinetics in Volunteers: Reply [RETRACTED]
Joakim Nyberg, Michael P Kinsky, Christer H Svensen
Journal of Pharmacokinetics and Pharmacodynamics
|
October 11, 2015
Inter occasion variability in individual optimal design
Anders N Kristoffersson, Lena E Friberg, Joakim Nyberg
Journal of Pharmacokinetics and Pharmacodynamics
|
November 3, 2016
The effect of Fisher information matrix approximation methods in population optimal design calculations
Eric A Strömberg, Joakim Nyberg, Andrew C Hooker
Journal of Pharmacokinetics and Pharmacodynamics
|
March 26, 2009
Simultaneous optimal experimental design on dose and sample times
Joakim Nyberg, Mats O Karlsson, Andrew C Hooker
The AAPS Journal
|
February 22, 2012
Rapid sample size calculations for a defined likelihood ratio test-based power in mixed-effects models
Camille Vong, Martin Bergstrand, Joakim Nyberg, et al.
Page
of 4
Search research articles
Search
Showing results (1-10 of 37) with videos related to
Sort By:
Page
of 4
Journal of Pharmacokinetics and Pharmacodynamics
|
February 22, 2025
The impact of misspecified covariate models on inclusion and omission bias when using fixed effects and full random effects models
Joakim Nyberg, E Niclas Jonsson
CPT: Pharmacometrics & Systems Pharmacology
|
March 30, 2022
A quantitative approach to the choice of number of samples for percentile estimation in bootstrap and visual predictive check analyses
E Niclas Jonsson, Joakim Nyberg
CPT: Pharmacometrics & Systems Pharmacology
|
June 28, 2024
Full random effects models (FREM): A practical usage guide
E Niclas Jonsson, Joakim Nyberg
CPT: Pharmacometrics & Systems Pharmacology
|
February 28, 2024
Using forest plots to interpret covariate effects in pharmacometric models
E Niclas Jonsson, Joakim Nyberg
CPT: Pharmacometrics & Systems Pharmacology
|
April 14, 2026
Objective First, Method Second: Why the Estimand Definition Comes First in Pharmacometric Covariate Modeling
E Niclas Jonsson, Joakim Nyberg, France Mentré
Anesthesiology
|
February 27, 2020
Population Volume Kinetics in Volunteers: Reply [RETRACTED]
Joakim Nyberg, Michael P Kinsky, Christer H Svensen
Journal of Pharmacokinetics and Pharmacodynamics
|
October 11, 2015
Inter occasion variability in individual optimal design
Anders N Kristoffersson, Lena E Friberg, Joakim Nyberg
Journal of Pharmacokinetics and Pharmacodynamics
|
November 3, 2016
The effect of Fisher information matrix approximation methods in population optimal design calculations
Eric A Strömberg, Joakim Nyberg, Andrew C Hooker
Journal of Pharmacokinetics and Pharmacodynamics
|
March 26, 2009
Simultaneous optimal experimental design on dose and sample times
Joakim Nyberg, Mats O Karlsson, Andrew C Hooker
The AAPS Journal
|
February 22, 2012
Rapid sample size calculations for a defined likelihood ratio test-based power in mixed-effects models
Camille Vong, Martin Bergstrand, Joakim Nyberg, et al.
Page
of 4