Promotie onderzoek

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Er zijn26resultaten gevonden
Klinische farmacologie

Causal inference and machine learning: improved methodologies to better understand the treatment of respiratory diseases

  • Universiteit Rijksuniversiteit Groningen
  • Promovendus Irene Mommers
  • Promoters E. Hak
  • Co-Promoters M.J. Bijlsma
  • Jaar 2021-2025
Farmaco-economie

Quality of life, frailty assessment, and pharmacoeconomics in the age of targeted therapies for acute myeloid leukemia

  • Universiteit Rijksuniversiteit Groningen
  • Promovendus Benno Diekmann
  • Promoters E.N. van Roon
  • Co-Promoters M. Hoogendoorn N.J.G.M. Veeger
  • Jaar 2022-2026
Klinische farmacologie

Pharmaceutical care of cancer patients

  • Universiteit Rijksuniversiteit Groningen
  • Promovendus Lotte Hulskotte
  • Promoters F.G.A. Jansman A.K.L. Reyners K. Taxis
  • Jaar 2023-2028

Medication surveillance and clinical pharmacology of cancer drug treatment.
 

Klinische farmacologie

Adherence to treatment of diabetes with comorbidity of mental illness and its impact on disease prognosis in Indonesian geriatric patients

  • Universiteit Rijksuniversiteit Groningen
  • Promovendus Nora Wulandari
  • Promoters K. Taxis T.L. Feenstra
  • Jaar 2023-2027
Farmaco-economie

Optimization of the evaluation of oncology drugs for reimbursement

  • Universiteit Rijksuniversiteit Groningen
  • Promovendus Sharon Wolters
  • Promoters M. Postma F.G.A. Jansman
  • Jaar 2019-2025

The research focusses on several aspects related to reimbursement: factors influencing the time to reimbursement, measures to improve the time to reimbursement, differences in the clinical evidentiary requirements of oncology assessment, EMA versus HTA bodies and changes in economic evaluations of oncology drugs in time.
 

Farmaco-economie

Towards personalized and cost-effective care for depression

  • Universiteit Rijksuniversiteit Groningen
  • Promovendus Fang Li
  • Promoters T.L. Feenstra
  • Co-Promoters F. Jörg
  • Jaar 2021-2025

The research project aims to develop models for the prediction of disease duration in order to support personalized and cost-effective care of depression patients. Using these models, optimal treatment strategies will be analyzed. In this project, we also want to predict treatment resistant depression as a specific subgroup and conduct cost-effectiveness analyses of different psychotherapy strategies and quantify the impact of structural uncertainty and parameter uncertainty on the results of cost-effectiveness evaluations.
 

Klinische farmacologie

Mental resilience as a determinant of burnout, depression, and anxiety

  • Universiteit Rijksuniversiteit Groningen
  • Promovendus A.L.M. Lamuri Murdani
  • Promoters T.L. Feenstra F. Jörg
  • Jaar 2023-2027

Onderwerp over onder andere polypharmacy bij personen met stemmingsstoornissen.
 

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