HT23
In oncology trials, surrogate endpoints like progression-free survival (PFS) are frequently utilized to evaluate the clinical benefit of cancer treatment. However, previous research suggests that a shorter interval for tumor assessment may result in a shorter median PFS than a longer interval. This phenomenon could potentially impact the comparison of data between different trials and between trial data and real-world data.
The objective of this project is to use population tumor growth inhibition (TGI) models to simulate the impact of scanning intervals on PFS comparison. The TGI model will be selected based on a literature review or modeled using available clinical trial data. The modeling and simulation will be conducted using R and/or NONMEM.
The work will be carried out in Uppsala, however in a research group, that offers an international environment. The working language, including supervision, will be English.
Does this project sounds like something for you? Apply here or contact the supervisor (see below) or Maria Kjellsson (maria.kjellsson@farmaci.uu.se) if you have additional questions. We look forward to your application!
Farmaceutisk vetenskap
Farmakometri
Beräkningsstudie
Uppsala Universitet
Uppsala
Han Liu
han.liu@farmaci.uu.se
Institutionen för farmaci
Masterprogram i läkemedelsmodellering
Degree Project in Pharmaceutical Modeling within Pharmacometrics 45 c - 3FB029
45hp
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