It’s that time of the year again — ISPOR EU is taking place from November 9th to 12th, 2025 in Glasgow Scotland. CCS will be there presenting an exciting array of work spanning transportability analysis, target trial emulation, simulation-guided trial design and meta-analysis.

We’re headed to Montreal for ISPOR US 2025. We’ll be at Booth #1217 and presenting our work on each day of the conference. Read on for full details and PDFs of our posters.

Despite their benefits, uptake of value-based contracts has been limited, perhaps due in part to the challenges associated with estimating the financial outcomes associated with different contract considerations. For example, how does the size of the evidence base impact the likely range of financial outcomes in a value-based contract? Our latest publication in Value in Health set-out to tackle exactly this issue.

We at CCS are proud to announce the publication of our systematic review of applied transportability and generalizability analyses. This review is a landscape analysis intended to give an overview of all of the published applications of transportability and generalizability analyses using real data.

We’re excited to share that the Target Aggregate Data Adjustment (TADA) Method is now implemented in our {TransportHealth} R package!

The deadline has passed to submit feedback on Canada's Drug Agency’s draft Methods Guide for Health Technology Assessment, which outlines a framework for appraising clinical evidence in health technology assessments (link). At CCS, we contributed comments emphasizing the need for methodological rigor and innovation to ensure assessments are both scientifically sound and practically relevant.

Yesterday was the last day to submit comments on the Food and Drug Administration’s (FDA) most recent draft industry guidance on diversity in clinical trials, Diversity Action Plans to Improve Enrollment of Participants from Underrepresented Populations in Clinical Studies (link). Here at CCS, we took this as an opportunity to highlight the need for process metrics for diversity in clinical trials.