Economizing comparative Poisson clinical trials of multiple experimental treatments by testing against the same control.

Comparative Poisson trials of an experimental treatment versus a control typically condition on the total number of events that occur across both arms (Design A). Inference is based on the binomial distribution. Recently, an approach termed Design C to compare experimental treatments to the same control was introduced.

Safety, tolerability, and immunogenicity of V114, a 15-valent pneumococcal conjugate vaccine, followed by sequential PPSV23 vaccination in healthy adults aged ≥50 years: A randomized phase III trial (PNEU-PATH).

Background: Streptococcus pneumoniae causes pneumococcal disease, and older adults are at an increased risk. Sequential vaccination of 13-valent pneumococcal conjugate vaccine (PCV13) followed by 23-valent pneumococcal polysaccharide vaccine (PPSV23) is recommended for broad protection against pneumococcal disease in some countries.

Methods: This phase III trial evaluated the safety, tolerability, and immunogenicity of sequential administration of either V114 (a 15-valent PCV containing serotypes 1, 3, 4, 5, 6A, 6B, 7F, 9V, 14, 18C, 19A, 19F, 22F, 23F, and 33F) or PCV13, followed 12 months later by PPSV23, in healthy adults aged ≥50 years (NCT03480763).

Comparative poisson clinical trials of multiple experimental treatments vs a single control using the negative multinomial distribution.

This paper introduces a method which conditions on the number of events that occur in the control group to determine rejection regions and power for comparative Poisson trials with multiple experimental treatment arms that are each compared to one control arm. This leads to the negative multinomial as the statistical distribution used for testing. For one experimental treatment and one control with curtailed sampling, this is equivalent to Gail's (1974) approach.

Clinical outcomes associated with pathogenic genomic instability mutations in prostate cancer: a retrospective analysis of US pharmacy and medical claims data.

Prostate cancer (PC) is a clinically heterogenous disease, and genetic mutations may be useful for patient risk stratification. This retrospective cohort study compared clinical outcomes, pharmacy use, and outpatient resource use in PC patients with and without pathogenic genomic instability mutations, including DNA repair deficiency (DRD) mutations and those in , , and . Patients ≥18 years newly-diagnosed with PC between June 2011-March 2016 were identified in medical and prescription claims databases linked to a genomic dataset.