scholarly journals A novel equivalence probability weighted power prior for using historical control data in an adaptive clinical trial design: A comparison to standard methods

2021 ◽  
Author(s):  
Maxine Bennett ◽  
Simon White ◽  
Nicky Best ◽  
Adrian Mander
Keyword(s):  
Clinical Trial ◽  
Trial Design ◽  
Clinical Trial Design ◽  
Historical Control ◽  
Control Data ◽  
Standard Methods ◽  
Power Prior ◽  
Historical Control Data

scholarly journals BayesCTDesign: An R Package for Bayesian Trial Design Using Historical Control Data

2021 ◽  
Vol 100 (21) ◽  
Author(s):  
Barry S. Eggleston ◽  
Joseph G. Ibrahim ◽  
Becky McNeil ◽  
Diane Catellier
Keyword(s):  
Trial Design ◽  
R Package ◽  
Historical Control ◽  
Control Data ◽  
Historical Control Data

scholarly journals Bayesian leveraging of historical control data for a clinical trial with time‐to‐event endpoint

2020 ◽  
Vol 39 (7) ◽  
pp. 984-995
Author(s):  
Satrajit Roychoudhury ◽  
Beat Neuenschwander
Keyword(s):  
Clinical Trial ◽  
Historical Control ◽  
Time To Event ◽  
Control Data ◽  
Historical Control Data

An efficient Bayesian platform trial design for borrowing adaptively from historical control data in lymphoma

2020 ◽  
Vol 89 ◽  
pp. 105890 ◽  
Author(s):  
James Normington ◽  
Jiawen Zhu ◽  
Federico Mattiello ◽  
Somnath Sarkar ◽  
Brad Carlin
Keyword(s):  
Trial Design ◽  
Historical Control ◽  
Control Data ◽  
Historical Control Data

Integrating radiomics into clinical trial design

2019 ◽  
Vol 63 (4) ◽  
Author(s):  
Jessica J. Waninger ◽  
Michael D. Green ◽  
Catherine Cheze Le Rest ◽  
Benjamin Rosen ◽  
Issam El Naqa
Keyword(s):  
Clinical Trial ◽  
Trial Design ◽  
Clinical Trial Design

Historical control data on developmental toxicity studies in rodents

2014 ◽  
Vol 54 (3) ◽  
pp. 150-161 ◽  
Author(s):  
Makoto Ema ◽  
Katsumi Endoh ◽  
Ryou Fukushima ◽  
Sakiko Fujii ◽  
Hiroaki Hara ◽  
...  
Keyword(s):  
Developmental Toxicity ◽  
Historical Control ◽  
Control Data ◽  
Toxicity Studies ◽  
Historical Control Data

scholarly journals X-change symposium: status and future of modern radiation oncology—from technology to biology

2021 ◽  
Vol 16 (1) ◽  
Author(s):  
Stefanie Corradini ◽  
Maximilian Niyazi ◽  
Dirk Verellen ◽  
Vincenzo Valentini ◽  
Seán Walsh ◽  
...  
Keyword(s):  
Clinical Trial ◽  
Radiation Oncology ◽  
Trial Design ◽  
Rapid Development ◽  
Clinical Trial Design ◽  
Current Status ◽  
Treatment Modalities ◽  
Special Treatment ◽  
Image Guided Radiotherapy

AbstractFuture radiation oncology encompasses a broad spectrum of topics ranging from modern clinical trial design to treatment and imaging technology and biology. In more detail, the application of hybrid MRI devices in modern image-guided radiotherapy; the emerging field of radiomics; the role of molecular imaging using positron emission tomography and its integration into clinical routine; radiation biology with its future perspectives, the role of molecular signatures in prognostic modelling; as well as special treatment modalities such as brachytherapy or proton beam therapy are areas of rapid development. More clinically, radiation oncology will certainly find an important role in the management of oligometastasis. The treatment spectrum will also be widened by the rational integration of modern systemic targeted or immune therapies into multimodal treatment strategies. All these developments will require a concise rethinking of clinical trial design. This article reviews the current status and the potential developments in the field of radiation oncology as discussed by a panel of European and international experts sharing their vision during the “X-Change” symposium, held in July 2019 in Munich (Germany).

scholarly journals Conceptual Framework to Support Clinical Trial Optimization and End-to-End Enrollment Workflow

2019 ◽  
pp. 1-10 ◽  
Author(s):  
Neha M. Jain ◽  
Alison Culley ◽  
Teresa Knoop ◽  
Christine Micheel ◽  
Travis Osterman ◽  
...  
Keyword(s):  
Clinical Trial ◽  
Clinical Trials ◽  
Knowledge Representation ◽  
Conceptual Framework ◽  
Trial Design ◽  
Clinical Trial Design ◽  
Prospective Clinical Trial ◽  
Future Trends ◽  
Current State ◽  
Evaluation Strategies

In this work, we present a conceptual framework to support clinical trial optimization and enrollment workflows and review the current state, limitations, and future trends in this space. This framework includes knowledge representation of clinical trials, clinical trial optimization, clinical trial design, enrollment workflows for prospective clinical trial matching, waitlist management, and, finally, evaluation strategies for assessing improvement.

scholarly journals Advances in clinical trial design for development of new TB treatments: A call for innovation

PLoS Medicine ◽  
2019 ◽  
Vol 16 (3) ◽  
pp. e1002769 ◽  
Author(s):  
Christian Lienhardt ◽  
Payam Nahid
Keyword(s):  
Clinical Trial ◽  
Trial Design ◽  
Clinical Trial Design
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