Degeling K - Search Results

1

Towards Routine Implementation of Liquid Biopsies in Cancer Management: It Is Always Too Early, until Suddenly It Is Too Late.

IJzerman MJ, de Boer J, Azad A, Degeling K, Geoghegan J, Hewitt C, Hollande F, Lee B, To YH, Tothill RW, Wright G, Tie J, Dawson SJ. IJzerman MJ, et al. Among authors: degeling k. Diagnostics (Basel). 2021 Jan 11;11(1):103. doi: 10.3390/diagnostics11010103. Diagnostics (Basel). 2021. PMID: 33440749 Free PMC article.

2

A systematic review and checklist presenting the main challenges for health economic modeling in personalized medicine: towards implementing patient-level models.

Degeling K, Koffijberg H, IJzerman MJ. Degeling K, et al. Expert Rev Pharmacoecon Outcomes Res. 2017 Feb;17(1):17-25. doi: 10.1080/14737167.2017.1273110. Epub 2016 Dec 27. Expert Rev Pharmacoecon Outcomes Res. 2017. PMID: 27978765 Review.

3

Comparison of Timed Automata with Discrete Event Simulation for Modeling of Biomarker-Based Treatment Decisions: An Illustration for Metastatic Castration-Resistant Prostate Cancer.

Degeling K, Schivo S, Mehra N, Koffijberg H, Langerak R, de Bono JS, IJzerman MJ. Degeling K, et al. Value Health. 2017 Dec;20(10):1411-1419. doi: 10.1016/j.jval.2017.05.024. Epub 2017 Jul 11. Value Health. 2017. PMID: 29241901 Free article.

4

Accounting for parameter uncertainty in the definition of parametric distributions used to describe individual patient variation in health economic models.

Degeling K, IJzerman MJ, Koopman M, Koffijberg H. Degeling K, et al. BMC Med Res Methodol. 2017 Dec 15;17(1):170. doi: 10.1186/s12874-017-0437-y. BMC Med Res Methodol. 2017. PMID: 29246192 Free PMC article.

5

Matching the model with the evidence: comparing discrete event simulation and state-transition modeling for time-to-event predictions in a cost-effectiveness analysis of treatment in metastatic colorectal cancer patients.

Degeling K, Franken MD, May AM, van Oijen MGH, Koopman M, Punt CJA, IJzerman MJ, Koffijberg H. Degeling K, et al. Cancer Epidemiol. 2018 Dec;57:60-67. doi: 10.1016/j.canep.2018.09.008. Epub 2018 Oct 11. Cancer Epidemiol. 2018. PMID: 30317148 Free article.

6

A scoping review of metamodeling applications and opportunities for advanced health economic analyses.

Degeling K, IJzerman MJ, Koffijberg H. Degeling K, et al. Expert Rev Pharmacoecon Outcomes Res. 2019 Apr;19(2):181-187. doi: 10.1080/14737167.2019.1548279. Epub 2018 Nov 22. Expert Rev Pharmacoecon Outcomes Res. 2019. PMID: 30426801 Review.

7

Comparing Strategies for Modeling Competing Risks in Discrete-Event Simulations: A Simulation Study and Illustration in Colorectal Cancer.

Degeling K, Koffijberg H, Franken MD, Koopman M, IJzerman MJ. Degeling K, et al. Med Decis Making. 2019 Jan;39(1):57-73. doi: 10.1177/0272989X18814770. Med Decis Making. 2019. PMID: 30799693 Free PMC article.

8

Health Economic Models for Metastatic Colorectal Cancer: A Methodological Review.

Degeling K, Vu M, Koffijberg H, Wong HL, Koopman M, Gibbs P, IJzerman M. Degeling K, et al. Pharmacoeconomics. 2020 Jul;38(7):683-713. doi: 10.1007/s40273-020-00908-4. Pharmacoeconomics. 2020. PMID: 32319026

9

Introduction to Metamodeling for Reducing Computational Burden of Advanced Analyses with Health Economic Models: A Structured Overview of Metamodeling Methods in a 6-Step Application Process.

Degeling K, IJzerman MJ, Lavieri MS, Strong M, Koffijberg H. Degeling K, et al. Med Decis Making. 2020 Apr;40(3):348-363. doi: 10.1177/0272989X20912233. Med Decis Making. 2020. PMID: 32428428 Free PMC article.

10

Simulating Progression-Free and Overall Survival for First-Line Doublet Chemotherapy With or Without Bevacizumab in Metastatic Colorectal Cancer Patients Based on Real-World Registry Data.

Degeling K, Wong HL, Koffijberg H, Jalali A, Shapiro J, Kosmider S, Wong R, Lee B, Burge M, Tie J, Yip D, Nott L, Khattak A, Lim S, Caird S, Gibbs P, IJzerman M. Degeling K, et al. Pharmacoeconomics. 2020 Nov;38(11):1263-1275. doi: 10.1007/s40273-020-00951-1. Pharmacoeconomics. 2020. PMID: 32803720

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