Elodie Plan
Forskare vid Institutionen för farmaci; Farmakometri
- Telefon:
- 018-471 40 09
- E-post:
- elodie.plan@farmbio.uu.se
- Besöksadress:
- Biomedicinskt Centrum BMC, Husargatan 3
- Postadress:
- Box 580
751 23 UPPSALA
Ladda ned kontaktuppgifter för Elodie Plan vid Institutionen för farmaci; Farmakometri
Forskare vid Institutionen för farmaci; Farmakometri
- E-post:
- elodie.plan@farmaci.uu.se
- Besöksadress:
- Biomedicinskt Centrum BMC, Husargatan 3
- Postadress:
- Box 580
751 23 UPPSALA
Ladda ned kontaktuppgifter för Elodie Plan vid Institutionen för farmaci; Farmakometri
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Kort presentation
Denna text finns inte på svenska, därför visas den engelska versionen.
I joined the Pharmacometrics group in 2007 and I am a part-time researcher since 2012. I work together with Mats Karlsson and other members of the group.
My research interest lies in models simultaneously characterizing disease progression and exposure-response, and particularly those involving discrete data approaches and multi-variable methodologies. My models are mostly applied in Neuroscience, Immunology and Respiratory, but methodologies can usually extend to other therapeutic areas.
Publikationer
Urval av publikationer
- Modeling and simulation of count data (2014)
- Likert Pain Scores Modeling (2012)
- Approaches to simultaneous analysis of frequency and severity of symptoms (2010)
Senaste publikationer
- Characterization of anti-drug antibody dynamics using a bivariate mixed hidden-markov model by nonlinear-mixed effects approach (2024)
- Joint longitudinal model-based meta-analysis of FEV1 and exacerbation rate in randomized COPD trials (2023)
- Improved Confidence in a Confirmatory Stage by Application of Item-Based Pharmacometrics Model (2022)
- Detecting placebo and drug effects on Parkinson's disease symptoms by longitudinal item-score models (2021)
- Improved Decision-Making Confidence Using Item-Based Pharmacometric Model (2021)
Alla publikationer
Artiklar
- Characterization of anti-drug antibody dynamics using a bivariate mixed hidden-markov model by nonlinear-mixed effects approach (2024)
- Joint longitudinal model-based meta-analysis of FEV1 and exacerbation rate in randomized COPD trials (2023)
- Improved Confidence in a Confirmatory Stage by Application of Item-Based Pharmacometrics Model (2022)
- Detecting placebo and drug effects on Parkinson's disease symptoms by longitudinal item-score models (2021)
- Improved Decision-Making Confidence Using Item-Based Pharmacometric Model (2021)
- Handling underlying discrete variables with bivariate mixed hidden Markov models in NONMEM (2019)
- Sensitivity of Pegfilgrastim Pharmacokinetic and Pharmacodynamic Parameters to Product Differences in Similarity Studies (2019)
- A Novel Method for Analysing Frequent Observations from Questionnaires in Order to Model Patient-Reported Outcomes (2019)
- Item Response Model Adaptation for Analyzing Data from Different Versions of Parkinson's Disease Rating Scales (2019)
- Sample size for detection of drug effect using item level and total score models for Unified Parkinson's Disease Rating Scale data (2018)
- Modeling a Composite Score in Parkinson's Disease Using Item Response Theory (2017)
- Differentiation between Parkinson's disease patients and SWEDDs based on the MDS-UPDRS (2017)
- Differentiation and prognosis of healthy subjects, swedds and parkinson's patients using a multi-dimensional item response theory model (2017)
- Approaches for modeling within subject variability in pharmacometric count data analysis (2016)
- Handling Underlying Discrete Variables with Mixed Hidden Markov Models in NONMEM (2015)
- Pharmacometrics Markup Language (PharmML) (2015)
- Evaluation of Bias, Precision, Robustness and Runtime for Estimation Methods in NONMEM 7 (2014)
- Modeling and simulation of count data (2014)
- Improved Utilization of ADAS-cog Assessment Data through Item Response Theory based Pharmacometric Modeling (2014)
- Predicting Baseline ADAS-cog Scores from Screening Information using Item Response Theory and Full Random Effect Covariate Modeling (2013)
- Pharmacometric Modeling of Clinical ADAS-cog Assessment Data using Item Response Theory (2013)
- Benefits of an Item Response Theory Based Analysis of ADAS-cog Assessments (2013)
- Modeling longitudinal daily seizure frequency data from pregabalin add-on treatment (2012)
- Likert Pain Scores Modeling (2012)
- Performance comparison of various maximum likelihood nonlinear mixed-effects estimation methods for dose-response models (2012)
- Performance of three estimation methods in repeated time-to-event modeling (2011)
- Transient Lower Esophageal Sphincter Relaxations PKPD Modeling (2011)
- Approaches to simultaneous analysis of frequency and severity of symptoms (2010)
- Performance in population models for count data, part I: maximum likelihood approximations. (2009)
- Modelling overdispersion and Markovian features in count data. (2009)
- Characterization of Anti-Drug Antibody Dynamics Using a Bivariate Mixed Hidden-Markov Model
- Clinical trial features affecting power to detect drug effect: application of Item Response Theory model to longitudinal expanded disability status scale data in multiple sclerosis
- Approaches to Likert-type Ordered Categorical Data Analysis
Böcker
