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The AAPS Journal
|
May 20, 2009
Handling data below the limit of quantification in mixed effect models
Martin Bergstrand, Mats O Karlsson
Journal of Pharmacokinetics and Pharmacodynamics
|
October 12, 2012
Letter to the editor regarding: "a reduction in between subject variability is not mandatory for selecting a new covariate"
Mats O Karlsson, Martin Bergstrand
CPT: Pharmacometrics & Systems Pharmacology
|
December 13, 2024
A tutorial on pharmacometric Markov models
Qing Xi Ooi, Elodie Plan, Martin Bergstrand
Clinical Pharmacology and Therapeutics
|
May 1, 2026
The Visual Predictive Check and Real-World Data
Jasmine H Hughes, Martin Bergstrand, Ron J Keizer
Journal of Pharmacokinetics and Pharmacodynamics
|
September 10, 2017
An automated sampling importance resampling procedure for estimating parameter uncertainty
Anne-Gaëlle Dosne, Martin Bergstrand, Mats O Karlsson
Journal of Pharmacokinetics and Pharmacodynamics
|
December 19, 2015
A strategy for residual error modeling incorporating scedasticity of variance and distribution shape
Anne-Gaëlle Dosne, Martin Bergstrand, Mats O Karlsson
The AAPS Journal
|
April 29, 2025
The Reference-Corrected Visual Predictive Check: A More Intuitive Diagnostic for Non-Linear Mixed Effects Models
Moustafa M A Ibrahim, E Niclas Jonsson, Martin Bergstrand
Pharmaceutical Research
|
November 11, 2015
Meta-analysis of Magnetic Marker Monitoring Data to Characterize the Movement of Single Unit Dosage Forms Though the Gastrointestinal Tract Under Fed and Fasting Conditions
Emilie Hénin, Martin Bergstrand, Werner Weitschies, et al.
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.
Journal of Pharmacokinetics and Pharmacodynamics
|
October 13, 2016
Improving the estimation of parameter uncertainty distributions in nonlinear mixed effects models using sampling importance resampling
Anne-Gaëlle Dosne, Martin Bergstrand, Kajsa Harling, et al.
Page
of 4
Search research articles
Search
Showing results (1-10 of 32) with videos related to
Sort By:
Page
of 4
The AAPS Journal
|
May 20, 2009
Handling data below the limit of quantification in mixed effect models
Martin Bergstrand, Mats O Karlsson
Journal of Pharmacokinetics and Pharmacodynamics
|
October 12, 2012
Letter to the editor regarding: "a reduction in between subject variability is not mandatory for selecting a new covariate"
Mats O Karlsson, Martin Bergstrand
CPT: Pharmacometrics & Systems Pharmacology
|
December 13, 2024
A tutorial on pharmacometric Markov models
Qing Xi Ooi, Elodie Plan, Martin Bergstrand
Clinical Pharmacology and Therapeutics
|
May 1, 2026
The Visual Predictive Check and Real-World Data
Jasmine H Hughes, Martin Bergstrand, Ron J Keizer
Journal of Pharmacokinetics and Pharmacodynamics
|
September 10, 2017
An automated sampling importance resampling procedure for estimating parameter uncertainty
Anne-Gaëlle Dosne, Martin Bergstrand, Mats O Karlsson
Journal of Pharmacokinetics and Pharmacodynamics
|
December 19, 2015
A strategy for residual error modeling incorporating scedasticity of variance and distribution shape
Anne-Gaëlle Dosne, Martin Bergstrand, Mats O Karlsson
The AAPS Journal
|
April 29, 2025
The Reference-Corrected Visual Predictive Check: A More Intuitive Diagnostic for Non-Linear Mixed Effects Models
Moustafa M A Ibrahim, E Niclas Jonsson, Martin Bergstrand
Pharmaceutical Research
|
November 11, 2015
Meta-analysis of Magnetic Marker Monitoring Data to Characterize the Movement of Single Unit Dosage Forms Though the Gastrointestinal Tract Under Fed and Fasting Conditions
Emilie Hénin, Martin Bergstrand, Werner Weitschies, et al.
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.
Journal of Pharmacokinetics and Pharmacodynamics
|
October 13, 2016
Improving the estimation of parameter uncertainty distributions in nonlinear mixed effects models using sampling importance resampling
Anne-Gaëlle Dosne, Martin Bergstrand, Kajsa Harling, et al.
Page
of 4