Register for the meeting here!


The WNAR 2021 program schedule can be viewed here.


Program book can be viewed here, including abstracts for presentations. 


The program includes: 

Invited sessions

Contributed sessions

Student paper sessions

Presidential invited address

Graduate student social hour

Early Career Panel (New Investigators' Luncheon)


Agenda can now be viewed in WHOVA. Please check here.


Access the speaker page here.


General information: 

  • WHOVA: WNAR 2021 is hosted through WHOVA.  As a participant, you should have received an email from WHOVA for WNAR 2021.

     

    Pre-recorded talks and slides: We encourage all speakers to provide a prerecorded talk and send slides as backup in case there are technical difficulties. The speaker can then choose to use their prerecorded talk or to speak live. Pre-recorded talks and slides should be emails to your chair and Jennifer McNichol (jmcnicho@unb.ca). Jen will upload the videos to WHOVA.

     

    Use Zoom link external to WHOVA: For chairs and speakers to be able to share their screens and have other controls, please make sure to access the zoom link externally through Zoom, not through WHOVA. You will have the option to access zoom externally from the WHOVA program.

    Test Zoom Sessions: IMPORTANT!  Please test the zoom link for your session prior to your session.  If there is a password, it should be imbedded in the link or should be wnar2021.


    Session timing: we recommend leaving 2-3 min for questions

    • posters – 10 min including time for questions
    • contributed talks - 15 min including questions
    • student talks - 20 min including questions 
    • invited talks - 25 min including time for questions 
  •  Poster Presenters: Please provide an external link (e.g. google docs) to your poster to Jennifer McNichol (jmcnicho@unb.ca) to put in the program
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  •  Chair/Speaker Profiles: You can add your picture and additional information about yourself to the virtual WNAR site.  Be on the lookout for an email from WHOVA to update your information.


Graduate Student Social Hour

Date/Time: Monday, June 14th, from 12:15 to 1:15 pm PDT

Description: The newly-formed WNAR Student Committee welcomes current and recent graduate students to a social hour/mixer. Meet with students from other programs and also learn about opportunities for student engagement within WNAR.



Early Career Panel

Date/Time: Tuesday, June 15th, from 12:15 to 1:30 pm PDT

Description: 

WNAR will be hosting an Early Career Panel (previously named as New Investigators’ Luncheon) during the annual WNAR meeting, being held virtually June 14-16.  The Early Career Panel will be Tuesday June 15 from 12:15pm-1:30pm (Pacific).   Students planning to graduate in the next year and persons within 3 years of graduation are welcome to attend.  

The session moderator is:

Ying Lu, Ph.D., Professor of Biomedical Data Science, Stanford University, Stanford, CA, USA.

Panelists are:

Nebiyou Bekele, Ph.D., Vice President of Biostatistics and Clinical Data Management, Excelisis, San Mateo, CA, USA;

Brad Biggerstaff, Ph.D., Mathematical Statistician and Team Leader, CDC/DVBD, Denver, CO, USA;

Chito Hernandez, Ph.D., Group Vice President, Biometrics, Biomarin, San Francisco, CA, USA;

Joan Hu, Ph.D., Professor of Statistics, Simon Fraser University, Burnaby, BC, Canada;

Karen Messer, Ph.D., Professor and Division Chief, University of California, San Diego, CA, USA;

Megan Othus, Ph.D., Biostatistician and Professor, Fred Hutch Cancer Research Center, Seattle, WA, USA. 

Only 20 attendees will be given the opportunities to directly dialog with the panel.

Registered attendees to the WNAR Annual Meeting will be able to join the session through WNAR Program.  If you are already registered to the WNAR annual meeting and interested in dialog with panelists and haven’t signed up, please email wnar@wnar.orwith the subject title of “Join the Early Career Panel Discussion”. You can also submit your questions to the panelists by emailing wnar@wnar.org with the subject title of “Questions to the Early Career Panel”.


For more details, please see here.


Short Courses

Short Course I (half day) - Master Protocols: Tackling Complex Diseases (and COVID-19!) with Bayesian Adaptive Platform Trials 

Friday morning, 6/11 8am-12pm PDT, 2021

Instructors: Ben Saville, Ph.D., Anna McGlothlin, Ph.D., Christina Saunders, Ph.D.

Short Course Description 

As medical research continues to push into new frontiers of discovery and personalized patient care, along with new complex diseases and worldwide pandemics (COVID-19), it is imperative that clinical trial designs and statistical methodologies evolve to address the forthcoming challenges. One key innovation is the master protocol, including “platform” trial designs which can evaluate multiple therapies simultaneously in complex heterogenous diseases. In this course, we explain Bayesian adaptive methodologies underlying modern trials with master protocols. We introduce fundamental concepts in Bayesian adaptive trials, including Bayesian priors and posteriors, predictive probabilities, hierarchical modeling and “basket” trials, adaptive sample size, and response adaptive randomization. We explain the objectives and efficiencies of adaptive platform trial designs, with high profile examples investigating treatments in COVID-19, Amyotrophic Lateral Sclerosis (ALS), and Cancer. We show the role of virtual trial simulation in trial design, and discuss logistical and practical considerations in the implementation of these complex designs. In addition, we discuss the impact of the COVID-19 pandemic on both design and implementation of adaptive clinical trials.

A highlight of the course will be interactive breakout activities that encourage individual participation and teach key adaptive platform trial concepts. Upon completion of the course, participants will have a general understanding of Bayesian adaptive platform trials and underlying methodologies, and better recognize opportunities for innovation in their respective organizations.

Target Audience:
Statisticians, data scientists, and quantitative investigators involved in clinical trial design



Short Course II (half day) - RMST-based survival analysis methods for non-proportional hazards

Friday afternoon, 6/11 1pm-5pm PDT, 2021

Instructor: Lu Tian, Ph.D.

Short Course Description 

In a prospective clinical study to compare two groups, the primary end point is often the time to a specific event (for example, disease progression, death). The hazard ratio estimate is routinely used to empirically quantify the between-group difference under the assumption that the ratio of the two hazard functions is constant over time. When this assumption is plausible, such a ratio estimate may capture the relative difference between two survival curves. However, the clinical meaning of such a ratio estimate is difficult (if not impossible) to interpret when the underlying proportional hazards assumption is violated.  In this course, we will discuss several critical concerns regarding this conventional practice and propose an attractive alternative for quantifying the underlying differences between groups based on restricted mean survival time (RMST).  I will discuss various issues in employing RMST in practical analysis including statistical inference, result interpretation, selecting the truncation point, study design, power comparison, regression adjustment and extensions to competing risk and recurrent events settings. We will discuss the pros and cons of the RMST-based analysis and demonstrate that it is competitive to its hazard ratio-based conventional counterparts in many real world applications. 

Bio

Dr. Tian is Professor at the Department of Biomedical Data Science of Stanford University. Lu Tian received his Sc.D. in Biostatistics from Harvard University. He has considerable experience in statistical methodological research, planning large epidemiological studies, performing data management for randomized clinical trials and conducting applied data analysis. His current research interest includes developing statistical methods in survival analysis, semiparametric regression modelling, high-dimensional data analysis, precision medicine and meta-analysis. He has published more than 200 peer reviewed journal articles and currently served as the Associate Editor of Chance, Biometrics and Statistics in Medicine.


2021 WNAR Conference Organizers


Scientific Program Chair: Yingqi Zhao, Fred Hutchinson Cancer Research Center  


Operations Committee:

Audrey Hendricks (Chair)University of Colorado Denver

Jennifer McNichol, University of New Brunswick

Lingling An, University of Arizona

Subodh Selukar, University of Washington


Student Paper Competition Committee: 

Laura Saba (Chair): University of Colorado Anschutz Medical Campus

Jarrett Barber: Arizona state University

Cindy Feng: Dalhousie University

Camille Moore: National Jewish Health

Holly Steeves: University of Victoria

Mourad Tighiouart: Cedars-Sinai Medical Center

Julie Zhou: University of Victoria



Sponsored by:





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