Bradley Thomas Ferguson

Works (3)

Updated: August 7th, 2023 21:15

2014 article

Benefits of Model-based Drug Development: A Rigorous, Planned Case Study

Reeve, R., Berry, S., Xiao, W., Ferguson, B., Thürk, M., & Goetz, R. (2014, April 7). Communications in Statistics - Simulation and Computation.

By: R. Reeve*, S. Berry*, W. Xiao n, B. Ferguson n, M. Thürk & R. Goetz

author keywords: Adaptive trial; Bayesian; Dose response; Model-based drug development; Phase I; Phase II
topics (OpenAlex): Computational Drug Discovery Methods; Statistical Methods in Clinical Trials; Viral Infectious Diseases and Gene Expression in Insects
TL;DR: The conclusion is that the use of MBDD could have facilitated more efficient use of resources in the traditional drug development process. (via Semantic Scholar)
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Added: August 6, 2018

2014 article

Set‐valued dynamic treatment regimes for competing outcomes

Laber, E. B., Lizotte, D. J., & Ferguson, B. (2014, January 8). Biometrics.

By: E. Laber n, D. Lizotte * & B. Ferguson n

author keywords: Competing outcomes; Composite outcomes; Dynamic treatment regimes; Personalized medicine; Preference elicitation
MeSH headings : Algorithms; Antipsychotic Agents / administration & dosage; Antipsychotic Agents / adverse effects; Antipsychotic Agents / therapeutic use; Body Mass Index; Clinical Protocols; Clinical Trials as Topic / methods; Decision Making; Humans; Models, Statistical; Schizophrenia / drug therapy; Treatment Outcome
topics (OpenAlex): Health Systems, Economic Evaluations, Quality of Life; Advanced Causal Inference Techniques; Schizophrenia research and treatment
TL;DR: This work proposes a method for constructing DTRs that accommodates competing outcomes by recommending sets of treatments at each decision point, and offers an exact enumeration algorithm by recasting the problem as a linear mixed integer program. (via Semantic Scholar)
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2013 article

Rheumatoid Arthritis Disease Progression Modeling

Reeve, R., Pang, L., Ferguson, B., Michael, O. K., Berry, S., & Xiao, W. (2013, September 6). Therapeutic Innovation & Regulatory Science.

By: R. Reeve, L. Pang*, B. Ferguson*, O. Michael, S. Berry & W. Xiao n

author keywords: rheumatoid arthritis; time progression model; nonlinear model; ACR20; DMARD; TNF inhibitor
topics (OpenAlex): Rheumatoid Arthritis Research and Therapies; Monoclonal and Polyclonal Antibodies Research; Biosimilars and Bioanalytical Methods
TL;DR: A meta-analysis of time progression models for rheumatoid arthritis shows that an exponential time response model adequately fits the data and a distribution of effects for biological RA therapies can be provided. (via Semantic Scholar)
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