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  • Posted on 21 July 2014 | Filed under: WP6
    Use of a linearization approximation facilitating stochastic model building.  E.M. Svensson , M.O. Karlsson. Journal of Pharmacokinetcs and Pharmacodynamics 2014, 41: 153   Abstract The objective of this work was to facilitate the development of nonlinear mixed effects models by establishing a... Read more
  • Posted on 27 June 2014 | Filed under: WP4
    Biophysical constraints on the evolution of tissue structure and function. P. J. Hunter and B. de Bono Abstract Phylogenetic analyses based on models of molecular sequence evolution have driven to industrial scale the generation, cataloguing and modelling of nucleic acid and polypeptide structure.... Read more
  • Posted on 10 June 2014 | Filed under: WP1
    Modeling of 24-Hour Glucose and Insulin Profiles in Patients With Type 2 Diabetes Mellitus Treated With Biphasic Insulin Aspart. Rikke M. Røge, Søren Klim, Niels R. Kristensen, Steen H. Ingwersen, and Maria C. Kjellsson. Abstract Insulin therapy for diabetes patients is designed to mimic the... Read more
  • Posted on 10 June 2014 | Filed under: WP6
    A note on BIC in mixed-effects models Maud Delattre, Marc Lavielle and Marie-Anne Poursat Abstract The Bayesian Information Criterion (BIC) is widely used for variable selection in mixed effects models. However, its expression is unclear in typical situations of mixed effects models, where simple... Read more
  • Posted on 12 May 2014 | Filed under: WP1, Model Repository
    A Review of Mixed-Effects Models of Tumor Growth and Effects of Anticancer Drug Treatment Used in Population Analysis. B Ribba, NH Holford, P Magni, I Trocóniz, I Gueorguieva, P Girard, C Sarr, M Elishmereni, C Kloft and LE Friberg CPT:Pharmacometrics and Systems Pharmacology, 2014, e113Abstract... Read more
  • Posted on 12 May 2014 | Filed under: Publications, WP8
    Third issue of the DDMoRe newsletter, an update on the third-year achievements of the DDMoRe project  
  • Posted on 12 April 2014 | Filed under: WP1
    A Population Pharmacodynamic Model for Lactate Dehydrogenase and Neuron Specific Enolase to Predict Tumor Progression in Small Cell Lung Cancer Patients Núria Buil-Bruna, José-María López-Picazo, Marta Moreno-Jiménez, Salvador Martín-Algarra, Benjamin Ribba, and Iñaki F. Trocóniz AAPSJ Abstract The... Read more
  • Posted on 10 February 2014 | Filed under: WP1
    Longitudinal Modeling of the Relationship Between Mean Plasma Glucose and HbA1c Following Antidiabetic Treatments JB Møller, RV Overgaard, MC Kjellsson, NR Kristensen, S Klim, SH Ingwersen and MO Karlsson Abstract Late-phase clinical trials within diabetes generally have a duration of 12–24 weeks,... Read more
  • Posted on 19 December 2013 | Filed under: WP3, WP4
    Leiden, the Netherlands, 20th December 2013 – The IMI Drug Disease Model Resources (DDMoRe) consortium is launching modelling languages to enable quantitative decision making across all stages of pharmaceutical drug development. This first release includes a “universal” Modelling Description... Read more
  • Posted on 24 November 2013 | Filed under: WP1
    Population pharmacokinetic pharmacodynamic modelling in oncology: a tool for predicting clinical response1 B C Bender, E Schindler, L E Friberg. Br. J. Clin. Pharmacol. Abstract In oncology trials, overall survival (OS) is considered the most reliable and preferred endpoint to evaluate the benefit... Read more