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This course introduces cutting edge causal machine learning methods to provide robust evidence on average and heterogen...
The course reviews both static and dynamic methods to estimate the budget impact of a new health care technology, follo...
Learn all the basics of developing and analyzing discrete event simulations, including the steps involved in the modeli...
Clinical outcome assessment (COA) strategies tend to focus on the evidence requirements for FDA/EMA labeling. Beyond la...
This course introduces cutting edge causal machine learning methods to provide robust evidence on average and heterogen...
Health economic analysis is an essential aspect of healthcare decision-making, and R software offers a solution for eff...
This course explores LLMs as analytical tools for real-world data analysis. Topics: LLM basics, training, health data a...
Clinical outcome assessments (COAs) are used to quantify health status from the patients' perspective. This course is d...
Time-to-event (survival) analysis is important for many economic analyses, especially in oncology where the need to ext...
Payers often utilize outcomes of local economic models, adapted from a global model, to make value-based investment dec...
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