Web-Based Lectures





Title: Graduate Training Fellowships and Grants: Opportunities and Advice
Presenter: Lance Waller, Emory University
Date and Time: TBD
Sponsor: ASA Committee on Funded Research
Twitter Hashtag: #ASAwebinar

Registration Deadline:TBD

Description:
This webinar will provide a brief review of individual graduate fellowships and training grants (F and T series) from the National Institutes of Health, as well as the National Heart, Lung, and Blood Institute's (NHLBI) Summer Institute in Biostatistics (SIBS) program. General overviews of the funding mechanisms, application and review process (including the necessary documentation for trainers and trainees), and administration of funded training programs will be presented. Advice and comments from the perspectives of a faculty director, faculty mentor, and colleague of training directors at other institutions will be provided. Topics include training content for didactic coursework, hands-on laboratory exercises, individual and group work, logistical details, program follow-up and evaluation, and initiatives for supporting a diverse participant base.

Bio:
Lance A. Waller is a professor in the department of biostatistics and bioinformatics at Emory University Rollins School of Public Health. He is a member of the National Academy of Sciences Board on Mathematical Sciences and Analytics and has served on National Academies committees on applied and theoretical statistics, cancer near nuclear facilities, geographic assessments of exposure to Agent Orange, and standoff explosive technologies. His research involves the development of statistical methods for geographic data, including applications in environmental justice, epidemiology, disease surveillance, spatial cluster detection, conservation biology, and disease ecology. His research appears in biostatistical, statistical, environmental health, and ecology journals and in the textbook Applied Spatial Statistics for Public Health Data (2004, Wiley). Waller has also led two T32 training grants, one from National Institute of General Medical Sciences and the other from National Institute of Environmental Health Sciences, and served as director of the NHLBI SIBS site at Emory for the past nine years.

Registration:
This webinar is free to anyone who would like to attend. However, registration is limited so you must register to receive the access information.

Each registration is allowed one web connection. Sound is received via audio streaming from your computer’s speakers. Multiple persons are encouraged to view each registered connection (for example, by projecting the webinar in a conference room).

Check back soon for registration link.



Title: Multilevel Regression and Poststratification
Presenter: Yajuan Si, University of Michigan
Date and Time: Thursday, October 10, 2019, 1:00 p.m. – 3:00 p.m. Eastern time
Sponsor: Survey Research Methods Section

Registration Deadline: Tuesday, October 8, at 12:00 p.m. Eastern time

Description:
Multilevel regression and poststratification (MRP), a method originally applied to political polls, has become increasingly popular with applications to demography, epidemiology, and many other areas. Adapted from hierarchical models, MRP is an approach to modeling survey or other nonrepresentative sample data that has the potential to adjust for complex design features and nonresponse bias while performing small area estimation. The seminar covers the statistical concepts and practical issues in implementing MRP with real-life application examples. We will introduce the assumptions and properties of MRP, connecting with calibration methods. Recent developments of MRP for survey weighting and inference of probability/non-probability samples will be covered. We will conclude with some cautions and challenging issues in the application of MRP.

Registration:
SRMS Members: $60
ASA Members: $75
Nonmembers: $95

Each registration is allowed one connection to the webinar. Multiple persons are encouraged to view each registered connection (for example, by projecting the webinar in a conference room).

Registration is closed.

Access Information
Registered persons will be sent an email the afternoon of Tuesday, October 8, with the access information to join the webinar and the link to download and print a copy of the presentation slides.




Title: Approaches for Estimating Treatment Effect in Principal Strata Where an Intercurrent Event Confounds the Measure of Primary Interest, with Examples
Presenters: Bohdana Ratitch, PhD, Eli Lilly Canada Inc., Ilya Lipkovich, PhD, Eli Lilly and Company, and Michael O’Kelly, PhD, IQVIA.
Date and Time: Wednesday, October 16, 2019, 12:00 p.m. – 2:00 p.m. Eastern time
Sponsor: Biopharmaceutical Section

Registration Deadline: Monday, October 14, at 12:00 p.m. Eastern time

Description:
In a randomized experiment, post-randomisation events can obstruct the estimate of the effect of a treatment upon an outcome. The difficulties posed by a post-randomization event depend upon what is desired to be estimated (i.e. upon the estimand). For example, if it is desired to estimate efficacy in the absence of a rescue medication, then the event of rescue renders the outcome unascertainable post-rescue. Another experiment may aim to estimate quality of life – in that case the event of death can require special thinking as to how to take death into account. In these and other cases, the obstructing event delineates patient subsets, selected post-randomization, with distinct patterns of outcome of interest. To deal with the resulting selection bias when the event is affected by treatment, one route that acknowledges the role of the confounding event is to estimate the treatment effect within subject subsets referred to as principal strata (Frangakis and Rubin, 2002) formed in a way that removes confounding after conditioning on stratum membership. For example, one can estimate “the effect of treatment on quality of life at time K in a principal stratum of subjects who would survive to time K, no matter to which treatment they had been randomized”, with the corresponding estimand being clearly interpretable with a well-defined outcome of interest for all subjects within the stratum. The biggest challenge is how to identify the effects within the strata given that stratum membership is only partially observed: while we can observe whether the event happened to a subject on their assigned treatment, we cannot observe whether they would have had the event if randomized to the other treatment, which is required to define principal strata membership. This webinar covers a range of approaches for identifying and estimating treatment effects within principal strata that emerged in the last 10 years focusing on key assumptions behind each method that make identification possible. An approach based on multiple imputation that is gaining popularity is illustrated with a real-world example.

Registration:
Biopharmaceutical Section Members: $0
ASA Members: $59
Nonmembers: $74

Each registration is allowed one web connection. Sound is received via audio streaming from your computer’s speakers. Multiple persons are encouraged to view each registered connection (for example, by projecting the webinar in a conference room).

Registration is closed.

Access Information
Registered persons will be sent an email the afternoon of Monday, October 14, with the access information to join the webinar and the link to download and print a copy of the presentation slides.




Title: Presence: Communicate with Confidence and Credibility
Presenter: Melissa Durkin, Director of Learning and Development Services at Tamayo Consulting, Inc.
Date and Time: Thursday, October 17, 2019, 1:00 p.m. – 3:00 p.m. Eastern time
Sponsor: Section on Medical Devices and Diagnostics

Registration Deadline: Tuesday, October 15, at 12:00 p.m. Eastern time

Description:
Do people check out or check their email when you talk? Do you feel that your expertise could be used more? Would you like to have a greater impact on important decisions? If you answered “yes” to any of these questions this webinar is for you.

Presence is a person’s ability to earn the confidence and respect of those around them. You will learn how to move beyond the p-value to have a real impact on your intended audience as you communicate, present, attend meetings and answer questions.

More specifically, you will learn how to:

  • Consistently demonstrate presence in a variety of different situations
  • Anticipate what your audience wants and needs from you
  • Engage and connect with your audience
  • Demonstrate confidence and poise under pressure
  • Provide straight, data-based answers to questions

Speaker Bios:
Melissa Durkin is a communication expert with more than 15 years of experience coaching and advising others, as they become more confident, credible and effective communicators.

As the Director of Learning and Development Services at Tamayo Consulting, Inc., Melissa specializes in communication, leadership and team development solutions and focuses her time most often in the biotech, medical device and technology sectors. She has developed scores of customized learning programs and helped hundreds of executives, managers, teams and individual contributors to reach new levels of effectiveness in their roles.

Melissa joined Tamayo in 2004. She received her M.A. in Communication from San Diego State University and her B.S. in Marketing from the University of Wisconsin-La Crosse.

Registration: FREE FOR MDD MEMBERS!
Member of the Section for Medical Devices and Diagnostics (MDD): $0
ASA Member: $65
Nonmember: $85

Each registration is allowed one web connection. Sound is received via audio streaming from your computer’s speakers. Multiple persons are encouraged to view each registered connection (for example, by projecting the webinar in a conference room).

Register

Access Information
Registered persons will be sent an email the afternoon of Tuesday, October 15, with the access information to join the webinar and the link to download and print a copy of the presentation slides.




Title: RAPID Recovery from Breakdowns is Possible
Presenter: Doug Zahn
Date and Time: Thursday, November 7, 2019, 1:30 p.m. – 3:00 p.m. Eastern time
Sponsor: Section on Statistical Consulting

Registration Deadline: Tuesday, November 5, at 12:00 p.m. Eastern time

Description:
This webinar is relevant to everyone in the Section on Statistical Consulting as well as those ASA members interested in the practice of consulting. Since we all have breakdowns at one time or another, recovering from them is essential to master. By “breakdown” I mean any failure to function as intended. In communication, breakdowns occur when the client does not hear what the statistical consultant intended to say and vice versa.

The primary message of this webinar is that we can recover from these breakdowns. It is a learned skill. Rapid recovery is important because when we experience a breakdown we tend to fall into an "emotional cloud." The first step in recovery is to recognize that you are in an emotional cloud, followed quickly by step two which is to address the cloud and take the necessary steps to get out of it. Successfully executing this process will get you back into useful communication with your client.

The idea of rapid recovery from breakdowns to improve relationships has been of interest to me since I first saw a video of a consultation in which I was engulfed in an emotional cloud for almost the entire consultation. I thought at the time that this was the client's fault and thus did not look for anything I could learn from the incident. Conversations with colleagues led me to see how I had contributed to various breakdowns and that I could have responded differently to improve this conversation and thus the relationship. I had much to learn from this interaction and continue to do so. I will share these lessons with you in the webinar and explore similar experiences in your career.

Bio:
Doug Zahn earned a PhD in statistics from Harvard University. He is a professor emeritus of the Florida State University Department of Statistics, where he taught applied statistics and statistical consulting courses for thirty-five years. He provided consulting services to faculty and students. For over nine years he coached consulting professionals at the United Kingdom Office for National Statistics while coteaching a course on consultancy skills. Zahn is the coauthor of The Human Side of Statistical Consulting and Quality Management Plus: The Continuous Improvement of Education. He and his wife, Andrea, live in Tallahassee, Florida.

Registration:
Member of the Section on Statistical Consulting: $20
ASA Member: $65
Nonmember: $85

Each registration is allowed one web connection and one audio connection. Multiple persons are encouraged to view each registered connection (for example, by projecting the webinar in a conference room).

Register

Access Information
Registered persons will be sent an email the afternoon of Tuesday, November 5, with the access information to join the webinar and the link to download and print a copy of the presentation slides.




Title: Some Frequently Asked Questions about the Design and Analysis of Sequential, Multiple Assignment Randomized Trials
Presenter: Daniel Almirall, University of Michigan
Date and Time: Wednesday, November 20, 2019, 12:00 p.m. – 1:30 p.m. Eastern time
Sponsor: Mental Health Statistics Section

Registration Deadline: Monday, November 18, at 12:00 p.m. Eastern time

Description:
Dynamic treatment regimens (also known as adaptive interventions) use a sequence of decision rules that guide whether, how, or when—and, importantly, based on which measures—to make critical decisions about intervention (e.g., treatment) in clinical, education or policy settings. This includes whether, how or when to alter the dosage (duration, frequency, or amount), type, or delivery of interventions to patients, students (or organizations). These interventions seek to address the individual and changing needs of students (or organizations) as they progress through an intervention. A SMART is a type of multi-stage, experimental design that was developed explicitly for constructing effective DTRs. While research on DTRs and SMART methods has grown exponentially in the past few years, substantive scientists and applied statistical workers still have many questions about the design of a SMART. This could lead to misconceptions or to limiting the novelty or significance (impact) of the proposed study design.

This non-technical webinar begins to fill this gap. Specifically, this webinar highlights some important principles of design and data analysis for SMARTs using a “Frequently Asked Questions” approach. Specifically, we pose a number of FAQs (which may come either from the perspective of a substantive scientist or applied statistical worker) and we work through possible responses to them. The FAQs presented in this webinar are the most common among a longer compilation of FAQs which have been collected based on over 10 years of experience designing these trial designs. We cover topics such as the distinction between a DTR and a SMART, control groups, the role of randomization, sample sizes, and embedded tailoring variables. We illustrate these ideas using a number of studies aiming to develop high-quality DTRs in mental health.

This webinar promises to be of interest to a broad array of statistical scientists and their collaborators, including medical or behavioral intervention scientists, methodologists and biostatisticians.

Registration:
Member of the Mental Health Statistics or Biometrics Section: $60
ASA Member: $90
Nonmember: $110

Each registration is allowed one connection to the webinar. Multiple persons are encouraged to view each registered connection (for example, by projecting the webinar in a conference room).

Register

Access Information
Registered persons will be sent an email the afternoon of Monday, November 18, with the access information to join the webinar and the link to download and print a copy of the presentation slides.