Can GenAI for Literature Reviews Ever Be Trusted? A Pragmatic Approach That’s Ethically Designed and Purpose-built for HEOR Professionals

Oct 2024

This session will highlight practical use cases and best practices in applying AI to meet the demands of health technology assessments (HTA), health economics and outcomes research (HEOR) and surveillance activities.

External Control Arms - Application, Key Methods, and Acceptability

Oct 2023

This webinar will address when and why external control arms (ECA) are used, the acceptable types of data and methods to build ECAs, and circumstances under which ECAs are accepted from regulatory and HTA bodies.

Applications of Large Language Models for RWD Analytics

Oct 2023

In this webinar, we will give an overview of LLMs and share practical advice and cutting-edge examples about how to use them to help carry out real-world evidence (RWE) studies. We will also show how integrating GPT into population health analytics enables complex real-world datasets to be explored using simple language queries to transform the way that decision makers use data to identify unmet health needs.

Harnessing Horses and Zebras in Predictive Analytics: Methodological Considerations for Extreme Population Sizes in Real-World Evidence Generation

Sep 2023

This webinar is aimed at those who perform or use the results of real-world evidence (RWE) studies. It aims to describe the use of predictive analytics and machine learning for causal inference in the context of the extremes for disease populations: rare diseases and common conditions such as obesity.

Assessing Causal Treatment Effect for Sequenced Oncology Regimens

Jul 2023

In oncology, sequential use of treatments with different mechanisms of action is common practice to overcome cross-resistance . Over the past decade, treatment sequencing with novel immunotherapy and targeted agents has contributed to substantial improvement in clinical outcomes in cancer patients. However, such clinical practice introduces methodology challenges for HTA.

Introduction to Open-Source Modeling: R We There Yet?

Apr 2023

In this forum, the OSM Special Interest Group has selected leaders in the field of health economics to describe their approach to OSMs. Mohsen Sadatsafavi will introduce the Peer Models Network and PRISM service as part of "Open-access modelling as a companion to open-source modelling” illustrated with an example implemented for Chronic Obstructive Pulmonary Disease (the Evaluation Platform in COPD (EPIC) model.)

Availability and Access to Innovative Therapies in Latin America

Oct 2022

This webinar will focus on discussing how to ensure access for the right patient, to the right treatment, at the right time. We invited Max Newton, Engagement Manager at IQVIA as guest speaker. Max worked on the development of the FIFARMA "Patients Waiting to Access Innovative Therapies (WAIT) Indicator survey"; he also is leading a similar survey in Europe, the "EFPIA WAIT indicator".

Souring On SUCRAs: When Treatment Ranking Goes Wrong

Oct 2022

This webinar will explore what the SUCRA is, demonstrate how it can be meaningfully impacted by network composition (even in simple networks), and suggest corrections to common errors in the reporting of SUCRAs.

On the Validity of Statistical Analyses with Privacy-Preserving Synthetic Data

Sep 2022

This webinar presents a brief tutorial on synthetic data generation, an overview of its privacy preserving properties, and then review the results from studies evaluating the validity of analyses using synthetic data.

Network Meta-Analysis - Special Topics

Sep 2022

The Statistical Methods in Health Economics and Outcome Research Special Interest Group is pleased to present two webinars on Network Meta-Analysis (NMA). The first one is an introduction to NMA by Emma Hawe. The second will cover special topics in NMA by Sofia Dias. Both webinars will be moderated by Gian Luca Di Tanna. The second webinar will feature more advanced content than the first webinar.

An Introduction to Network Meta-Analysis

Sep 2022

The Statistical Methods in Health Economics and Outcome Research Special Interest Group is pleased to present two webinars on Network Meta-Analysis (NMA). The first of two webinars will focus on the terms associated with network meta-analyses, how and why different comparisons are used, and the concepts, assumptions, and limitations associated with NMA. The first webinar is focused on an Introduction to NMA by Emma Hawe. The second will cover special topics in NMA by Sofia Dias. Both webinars will be moderated by Gian Luca Di Tanna.

Distributional Cost-Effectiveness Analysis to Inform Healthcare Decisions

Jun 2022

This webinar will aim to provide an educational opportunity for the ISPOR membership to learn about the methods for conducting distributional cost-effectiveness analysis (DCEA).

The Convergence of Synthetic Data and Self-Service Analytics to Create a New RWE Model

May 2022

Real-world evidence has advanced health research over the past two or three decades. The challenges of procuring sufficient, high-quality real-world data, of unlocking the knowledge contained in the data, and of sharing information without compromising patient privacy are ever-present.

Delivering Evidence-Based Access in Rare Diseases: The Challenges in SMA

Apr 2022

This session educates about the specific challenges of rare disease treatments in an HTA and discusses how Real-World Evidence Collection can address the data gap at the time of access decision.

Supporting Covid19-Related Decision Making with Health Preference Research

Feb 2021

Many preference researchers have been quick to respond to this need and have conducted empirical COVID19 studies to better understand the value of health and health-related policies.

The Proper Order of Things is Often a Mystery: A Novel Approach to Selecting Treatment Sequences

Dec 2020

In this webinar, we will consider the apparent disconnect between HTA assessments of treatments within a specified location in a treatment sequence and clinical practice where a treatment sequence is tailored to the patient.

An Introduction to Cost Analysis Methods Using Large/administrative Claims Databases

Nov 2020

Determining resource utilization patterns, treatment and disease-related costs has become an important aspect of health outcomes research to guide health care resource allocation from a payer and policy decision-making perspectives.

Your browser is out-of-date

ISPOR recommends that you update your browser for more security, speed and the best experience on ispor.org. Update my browser now

×