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PhD - Improvements in health-state valuations using discrete choice experiments

Research / Academic
Rotterdam

This PhD project aims to advance our methodological research on employing discrete choice experiments (DCE) to value health for cost-effectiveness analyses. Historically, interviewer-based time-trade-off studies have been utilized, which are costly and time-consuming to manage as well as difficult for respondents, necessitating extensive quality-control measures. In contrast, DCEs offer a promising alternative for measuring health-related quality of life through online surveys. This approach is not only more cost-effective and less resource-intensive but also less complex for respondents and allowing for automated, model-based quality-control procedures during and after data collection. However, DCEs tend to undervalue health unless they are based on complex design optimization and statistical estimation methods.

Job description
The PhD candidate will play a pivotal role in the further validation and enhancement of DCE methodologies for health valuation. The research is methods-focused, striving to refine existing methods and introduce innovative ones, while also making cutting-edge methods more accessible to applied researchers. The project is structured into five work packages (WP), each outlining an independent research project. Collectively, these WPs aim to bridge significant gaps in creating a stand-alone DCE valuation protocol. Research topics include optimizing level overlap to adjust the method’s complexity for respondents, evaluating empirical performance of time discounting functions, employing adaptive optimization for discrete choice designs using Bayesian techniques, enhancing the estimation of complex discrete choice models with limited data, and the automatic detection of survey responses generated by artificial intelligence. Additionally, candidates will have the opportunity to contribute their own enhancements to the DCE valuation protocol.

Requirements:

We seek an excellent candidate with a recently acquired or nearly completed MSc degree in econometrics, statistics, or a related discipline. The ideal applicant will be eager to conduct methodological research on DCE applications in health and health-state valuation, possess a robust statistical foundation, and demonstrate proficiency in implementing new (Bayesian) models and optimization algorithms in programming languages such as C++. Experience in web development and familiarity with cloud-based computing are highly desirable, as the developed code will be integrated into an online data collection platform.

Salary Benefits:

We offer you an internationally oriented and varied job in an enthusiastic team, with excellent working conditions in accordance with the Collective Labour Agreement for Dutch Universities (CAO-NU).

The start date of this position is 01-SEP-2024 and you will be based at campus Woudestein in Erasmus School of Health Policy & Management (ESHPM). This position is for 0.85 fte - 1 fte. The salary ranges from a minimum of € 2.770 to a maximum of € 3.539 gross per month Scale PhD on a fulltime basis (38 hours), in accordance with the CAO-NU. The contract is entered initially for the duration of 1 year; subject to satisfactory performance the contract will be extended to 3 years.

Everything else we offer you, you can find below!

Work Hours:

34 - 40 hours per week

Address:

Burgemeester Oudlaan 50