Society for Medical Decision Making

This is an opportunity to share something that you’re excited about (e.g., a paper, data set, outrageous social media post, or person) with a group of similarly minded pediatric medical decision making researchers. Show and tell is intended to be an informal session build camaraderie, learn about others’ research, and share interesting ideas; there’s nothing you need to prepare in advance or read. Come as you are! If you’re not feeling inspired to share, you’re welcome to attend and just listen.

November 9, 10-1:30 ET

This course will cover the basics of metamodeling using R software. Its added value, and the practical steps for developing and applying metamodels will be discussed and demonstrated. This includes the identification of metamodeling techniques, simulation of data for metamodel training/testing, metamodel fitting/validation, use of a metamodel for optimization, and result verification. A single case study is used in several hands-on exercises, using metamodels to optimize a screening program. R is used for all exercises and ready-to-use scripts are provided, to apply the presented concepts in practice.

December 13, 10-1:30 ET

Cohort state transition models (cSTM), often called Markov models, are frequently used to inform policy makers about how to allocate healthcare resources under constrained budgets. In thiscourse we will teach participants how to integrate different components of a cSTM within a single framework using R. We will first give a conceptual overview of cSTMs and the general structure for their implementation in a programming language. This will be followed by a brief review of good coding practices and how to structure your code in an efficient, transparent and reproducible way. We will demonstrate a cSTM in R, followed by hands-on exercises that will help participants implement a cSTM in R. We will also demonstrate how to conduct a cost-effectiveness analysis(CEA)and how to calculate and visually present epidemiological and health economic outcomes using the cSTM. We will shortly cover the implementation of probabilistic sensitivity analysis (PSA)of a cSTM in R.

This is will be an introductory course that examines the application of economic principles to policy-relevant questions in the arena of health care.

The call for 2023 NA Meeting Abstracts is open through July 13.