Sample size calculation for active-arm trial with counterfactual incidence based on recency assay
Author:
Gao Fei1, Glidden David V.2, Hughes James P.3, Donnell Deborah J.4
Affiliation:
1. Fred Hutchinson Cancer Research Center , Seattle , USA 2. Department of Epidemiology and Biostatistics , University of California San Francisco , San Francisco , CA , USA 3. Department of Biostatistics , University of Washington , Seattle , WA , USA 4. Vaccine and Infectious Disease Division , Fred Hutchinson Cancer Research Center , Seattle , WA , USA
Abstract
Abstract
Objectives
The past decade has seen tremendous progress in the development of biomedical agents that are effective as pre-exposure prophylaxis (PrEP) for HIV prevention. To expand the choice of products and delivery methods, new medications and delivery methods are under development. Future trials of non-inferiority, given the high efficacy of ARV-based PrEP products as they become current or future standard of care, would require a large number of participants and long follow-up time that may not be feasible. This motivates the construction of a counterfactual estimate that approximates incidence for a randomized concurrent control group receiving no PrEP.
Methods
We propose an approach that is to enroll a cohort of prospective PrEP users and aug-ment screening for HIV with laboratory markers of duration of HIV infection to indicate recent infections. We discuss the assumptions under which these data would yield an estimate of the counterfactual HIV incidence and develop sample size and power calculations for comparisons to incidence observed on an investigational PrEP agent.
Results
We consider two hypothetical trials for men who have sex with men (MSM) and transgender women (TGW) from different regions and young women in sub-Saharan Africa. The calculated sample sizes are reasonable and yield desirable power in simulation studies.
Conclusions
Future one-arm trials with counterfactual placebo incidence based on a recency assay can be conducted with reasonable total screening sample sizes and adequate power to determine treatment efficacy.
Publisher
Walter de Gruyter GmbH
Reference16 articles.
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