Unanchored population-adjusted indirect comparison methods for time-to-event outcomes using regression adjustment, inverse odds weighting, and doubly robust methods with either individual patient or aggregate data

Several methods for unanchored population-adjusted indirect comparisons (PAIC) are available. Exploring alternative adjustment methods, depending on the individual patient data (IPD) available and the aggregate data (AD) in the external study, may help minimize bias in unanchored indirect comparisons. However, methods for time-to-event outcomes are not well understood. We provide an overview and comparison of methods using a case study to increase familiarity. We apply a recent method to marginalize conditional hazard ratios, which allows for the comparisons of methods, and we propose a doubly robust method.

Source: Value in Health - December 20, 2023 Category: International Medicine & Public Health Authors: Julie E. Park, Harlan Campbell, Kevin Towle, Yong Yuan, Jeroen P. Jansen, David Phillippo, Shannon Cope Source Type: research