Publications
Where expertise meets impact
Berry doesn’t just follow industry standards — we set them. Our team of award-winning statisticians, journal editors, and regulatory advisors leads the field in Bayesian and adaptive trial design. With research published in The New England Journal of Medicine, JAMA, and The Lancet, we’re driving innovation where it matters most.
Over 90% of our scientists published influential work this past year, advancing adaptive, Bayesian, and platform trial methodology. Our blend of academic rigor, regulatory insight, and real-world experience makes Berry a true authority in modern clinical trials.
Explore our most impactful peer-reviewed publications below.
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Alzheimer's Association
Neuroscience
Alzheimer's Disease
Data Analysis
Evaluation of dose-dependent treatment effects after mid-trial dose escalation in biomarker, clinical, and cognitive outcomes for gantenerumab or solanezumab in dominantly inherited Alzheimer's disease
November 3, 2022
2022
doi.org/10.1002/dad2.12367
Computational Statistics & Data Analysis
Methodology
Allocation
Generalisations of a Bayesian decision-theoretic randomisation procedure and the impact of delayed responses
October 31, 2022
2022
10.1016/j.csda.2021.107407
Springer Nature
Infectious Disease
Rare Diseases
Historical Borrowing
Efficacy and Safety of RBX2660 in PUNCH CD3, a Phase III, Randomized, Double-Blind, Placebo-Controlled Trial with a Bayesian Primary Analysis for the Prevention of Recurrent Clostridioides difficile Infection
October 26, 2022
2022
doi.org/10.1007/s40265-022-01797-x
Nature Medicine
Neuroscience
Alzheimer's Disease
Rare Diseases
Data Analysis
Temporal order of clinical and biomarker changes in familial frontotemporal dementia
September 22, 2022
2022
doi.org/10.1038/s41591-022-01942-9
Science Direct
Infectious Disease
COVID-19
Platform
The comparative effectiveness of COVID-19 monoclonal antibodies: A learning health system randomized clinical trial
August 31, 2022
2022
doi.org/10.1016/j.cct.2022.106822
Society for Clinical Trials
Methodology
Platform
The Bayesian Time Machine: Accounting for temporal drift in multi-arm platform trials
August 22, 2022
2022
doi.org/10.1177/17407745221112013
Society for Clinical Trials
Methodology
Platform
Commentary: Two approaches to analyze platform trials incorporating non-concurrent controls with a common assumption
August 22, 2022
2022
doi.org/10.1177/1740774522111201
BMC
Methodology
Platform
On model-based time trend adjustments in platform trials with non-concurrent controls
August 15, 2022
2022
doi.org/10.1186/s12874-022-01683-w
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