Session Details

AM5: Beginner's Guide to Decision Modelling in R

(Event: 17th Biennial European Conference (ESMDM) - Leiden, The Netherlands)

Jun 10, 2018 9:00AM - Jun 10, 2018 12:30PM

Session Type: Short Course- AM 1/2 Day

Description

Background

Economic evaluations often rely on decision models. As decision modelling advances, more complex models are being designed to better represent the underlying clinical conditions. In addition, decision models increasingly rely on new statistical and mathematical techniques (e.g. model calibration, value of information, evidence synthesis). Current commercially available tools provide limited flexibility in embedding such complex statistical approaches within the decision model framework. R is an environment where statistical analysis on primary or literature data can be combined with decision modelling and the results can be presented in publication ready form. Hence, R can embed most components of decision modelling within a single framework. Among other benefits, this facilitates sensitivity analyses while accounting for model uncertainty. In addition, R can accommodate more complex model structures and improve computational times. Finally, the fact that R is freely available improves model transparency and reproducibility.

Course Type

Half Day

Course Level

Beginner

Format Requirements

The course focuses on how to implement simple decision trees and basic Markov models using R. Therefore good understanding of decision modelling is necessary. The participants will be expected to have some experience with designing decision trees and Markov models and have basic understanding of statistics for economic evaluation. Finally, basic knowledge of R is required. Participants will need to bring their own laptops for practical exercises. R and RStudio will need to be pre-installed. Installation instructions will follow prior to the course.

Overview

This course offers a concise introduction on how to build decision models, such as decision trees and Markov cohort models, for economic evaluation using the R statistical software. R is an increasingly more popular platform where various components of an economic evaluation (person-level data analysis, evidence synthesis, decision modelling etc.) can be combined in a single framework.

Description & Objectives

The course will cover the basics of building decision models using R. First a very brief review of basic R functions that are commonly used in decision modelling (import/export data, data handling, basic distributions, "if" and "for" loops etc.) will be provided. Next, a simple decision tree will be constructed using R. A base-case analysis, as well as one way and probabilistic analyses will be conducted. Subsequently, a simple Markov model within R will be described. Base case and multi-way sensitivity analysis will be conducted. Results of both models will be presented in tabular and graphical form. Finally, principles of good modelling practices using R (e.g. consistency, proper documentation etc) will be outlined.

By the end of the course the participants will be able to:

Build a simple decision tree in R
Understand a simple Markov model in R
Create and export tabular and graphical representations of the results of the decision model.
Have a broader understanding of the advantages associated with using R in decision modelling.

All R programming templates for decision modelling will be provided to participants after the course for future use.

Course Director

Eline Krijkamp
- Netherlands Institute for Health Sciences

Course Faculty

Petros Pechlivanoglou
- Child Health Evaluative Sciences, The Hospital for Sick Children

Session Fees

	Fee Type	Member Fee	Non-Member Fee
This session is free
	Early:	$158.00	$216.00
	Regular:	$158.00	$216.00
	Late:	$173.00	$241.00
This session is free
	Early:	$80.00	$80.00
	Regular:	$80.00	$80.00
	Late:	$91.00	$91.00