Jacob Leander

Doktorand at Chalmers, Mathematical Sciences, Analysis and Probability Theory

An applied researcher with a passion for data-driven development.

Source: orcid.org

Showing 10 publications

2019

Parameter Estimation for Nonlinear Mixed Effects Models Implemented in Mathematica

Jacob Leander, Joachim Almquist, Helga Kristín Ólafsdóttir et al
Conference poster
2018

Exact Gradients Improve Parameter Estimation in Nonlinear Mixed Effects Models with Stochastic Dynamics

Helga Kristín Ólafsdóttir, Jacob Leander, Joachim Almquist et al
AAPS Journal. Vol. 20 (5)
Journal article
2017

Exact Gradients Improve Parameter Estimation in Nonlinear Mixed Effects Models with Stochastic Dynamics

Helga Kristin Olafsdottir, Jacob Leander, Joachim Almquist et al
Conference poster
2015

Sensitivity Equations Provide More Robust Gradients and Faster Computation of the FOCE Approximation to the Population Likelihood

Joachim Almquist, Jacob Leander, Mats Jirstrand
Proceedings of the 24th Annual meeting of the Population Approach Group in Europe, PAGE2015
Conference poster
2015

Using sensitivity equations for computing gradients of the FOCE and FOCEI approximations to the population likelihood

Joachim Almquist, Jacob Leander, Mats Jirstrand
Journal of Pharmacokinetics and Pharmacodynamics. Vol. 42 (3), p. 191-209
Journal article
2015

Mixed Effects Modeling Using Stochastic Differential Equations: Illustrated by Pharmacokinetic Data of Nicotinic Acid in Obese Zucker Rats

Jacob Leander, Joachim Almquist, Christine Ahlström et al
AAPS Journal. Vol. 17 (3), p. 586-596
Journal article
2014

Joint feedback analysis modeling of nonesterified fatty acids in obese zucker rats and normal sprague-dawley rats after different routes of administration of nicotinic acid

Sofia Tapani, Joachim Almquist, Jacob Leander et al
Journal of Pharmaceutical Sciences. Vol. 103 (8), p. 2571-2584
Journal article
2014

Stochastic differential equations as a tool to regularize the parameter estimation problem for continuous time dynamical systems given discrete time measurements

Jacob Leander, Torbjörn Lundh, Mats Jirstrand
Mathematical Biosciences. Vol. 251 (1), p. 54-62
Journal article
2014

Mixed-effects modeling using stochastic differential equations - Applications to pharmacokinetic modeling

Jacob Leander, Joachim Almquist, Christine Ahlström et al
Population Approach Group Europe (PAGE) 2014
Conference poster
2014

Contributions to nonlinear mixed-effects modeling

Jacob Leander
Licentiate thesis

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