scholarly journals Application of Bayesian Approach in Cancer Clinical Trial

2014 ◽  
Author(s):  
Bhattacharjee
Keyword(s):  
Clinical Trial ◽  
Bayesian Approach ◽  
Cancer Clinical Trial

A Bayesian approach to Weibull survival models?Application to a cancer clinical trial

1996 ◽  
Vol 2 (2) ◽  
pp. 159-174 ◽  
Author(s):  
Keith Abrams ◽  
Deborah Ashby ◽  
Doug Errington
Keyword(s):  
Clinical Trial ◽  
Bayesian Approach ◽  
Cancer Clinical Trial ◽  
Survival Models

scholarly journals Ovarian cancer clinical trial endpoints: Society of Gynecologic Oncology white paper

2014 ◽  
Vol 132 (1) ◽  
pp. 8-17 ◽  
Author(s):  
Thomas J. Herzog ◽  
Deborah K. Armstrong ◽  
Mark F. Brady ◽  
Robert L. Coleman ◽  
Mark H. Einstein ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Clinical Trial ◽  
Gynecologic Oncology ◽  
White Paper ◽  
Cancer Clinical Trial ◽  
Clinical Trial Endpoints ◽  
Trial Endpoints

Practical Aspects of Implementing and Applying Health Care Cloud Computing Services and Informatics to Cancer Clinical Trial Data

2021 ◽  
pp. 826-832
Author(s):  
Jay G. Ronquillo ◽  
William T. Lester
Keyword(s):  
Health Care ◽  
Clinical Trial ◽  
Cancer Research ◽  
Cloud Computing ◽  
Clinical Trials ◽  
Laboratory Tests ◽  
Cancer Clinical Trial ◽  
Cancer Clinical Trials ◽  
Precision Oncology ◽  
Oncology Research

PURPOSE Cloud computing has led to dramatic growth in the volume, variety, and velocity of cancer data. However, cloud platforms and services present new challenges for cancer research, particularly in understanding the practical tradeoffs between cloud performance, cost, and complexity. The goal of this study was to describe the practical challenges when using a cloud-based service to improve the cancer clinical trial matching process. METHODS We collected information for all interventional cancer clinical trials from ClinicalTrials.gov and used the Google Cloud Healthcare Natural Language Application Programming Interface (API) to analyze clinical trial Title and Eligibility Criteria text. An informatics pipeline leveraging interoperability standards summarized the distribution of cancer clinical trials, genes, laboratory tests, and medications extracted from cloud-based entity analysis. RESULTS There were a total of 38,851 cancer-related clinical trials found in this study, with the distribution of cancer categories extracted from Title text significantly different than in ClinicalTrials.gov ( P < .001). Cloud-based entity analysis of clinical trial criteria identified a total of 949 genes, 1,782 laboratory tests, 2,086 medications, and 4,902 National Cancer Institute Thesaurus terms, with estimated detection accuracies ranging from 12.8% to 89.9%. A total of 77,702 API calls processed an estimated 167,179 text records, which took a total of 1,979 processing-minutes (33.0 processing-hours), or approximately 1.5 seconds per API call. CONCLUSION Current general-purpose cloud health care tools—like the Google service in this study—should not be used for automated clinical trial matching unless they can perform effective extraction and classification of the clinical, genetic, and medication concepts central to precision oncology research. A strong understanding of the practical aspects of cloud computing will help researchers effectively navigate the vast data ecosystems in cancer research.

scholarly journals Insurance denials for cancer clinical trial participation after the Affordable Care Act mandate

Cancer ◽  
2017 ◽  
Vol 123 (15) ◽  
pp. 2893-2900 ◽  
Author(s):  
Christine B. Mackay ◽  
Kaitlyn R. Antonelli ◽  
Suanna S. Bruinooge ◽  
Jarron M. Saint Onge ◽  
Shellie D. Ellis
Keyword(s):  
Clinical Trial ◽  
Affordable Care Act ◽  
Cancer Clinical Trial ◽  
Trial Participation ◽  
Clinical Trial Participation ◽  
The Affordable Care Act

Effect of an Educational Video to Increase Calls and Screening into an Anal Cancer Clinical Trial Among HIV+ Hispanics in PR: Results from a Randomized Controlled Behavioral Trial

2018 ◽  
Vol 23 (5) ◽  
pp. 1135-1146
Author(s):  
Ana P. Ortiz ◽  
Mark Machin ◽  
Marievelisse Soto-Salgado ◽  
Hilmaris Centeno-Girona ◽  
Darilyn Rivera-Collazo ◽  
...  
Keyword(s):  
Clinical Trial ◽  
Anal Cancer ◽  
Cancer Clinical Trial ◽  
Educational Video ◽  
Randomized Controlled

scholarly journals MA Defence: Spaces of convergence of genomics in a cancer clinical trial: A survey examining genomic literacy among medical oncologists in British Columbia by Dung Ha

2017 ◽  
Vol 9 (1) ◽  
Author(s):  
Christine Rose Ackerley
Keyword(s):  
Clinical Trial ◽  
British Columbia ◽  
Cancer Clinical Trial ◽  
Dear Colleague ◽  
Medical Oncologists ◽  
Genomic Literacy

Our dear colleague, Dung Ha, will defend her MA dissertation on Monday, April 10, 2017, at Harbor Center Room 1315 (10:00 am – 12:00 pm). Here is the abstract of her dissertation “Spaces of convergence of genomics in a cancer clinical trial: A survey examining genomic literacy among medical oncologists in British Columbia.”

scholarly journals FDA ovarian cancer clinical trial endpoints workshop: A Society of Gynecologic Oncology White Paper

2017 ◽  
Vol 147 (1) ◽  
pp. 3-10 ◽  
Author(s):  
Thomas J. Herzog ◽  
Gwynn Ison ◽  
Ronald D. Alvarez ◽  
Sanjeeve Balasubramaniam ◽  
Deborah K. Armstrong ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Clinical Trial ◽  
Gynecologic Oncology ◽  
White Paper ◽  
Cancer Clinical Trial ◽  
Clinical Trial Endpoints ◽  
Trial Endpoints

Bayesian Approach for Clinical Trial Safety Data Using an Ising Prior

Biometrics ◽  
2013 ◽  
Vol 69 (3) ◽  
pp. 661-672 ◽  
Author(s):  
Bradley W. McEvoy ◽  
Rajesh R. Nandy ◽  
Ram C. Tiwari
Keyword(s):  
Clinical Trial ◽  
Bayesian Approach ◽  
Safety Data
Sign in / Sign up

Export Citation Format

Share Document