Central Indiana Chapter

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Central Indiana Chapter
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Announcements

  • Chapter meeting - Professional development series

    The Central Indiana Chapter will have an in-person meeting on Thursday, April 09, 2026 at DORIS Research in Indianapolis. Our guest speaker will be Gary Sullivan from Espirer Consulting. As part of our professional development series, Gary will be giving a presentation on leadership development for statisticians and data scientists. The presentation will start at approximately 5:00 and last about 1 hour. But be sure to arrive early and stay afterwards for some light refreshments and networking with other data professionals.
     
        speaker:  Gary Sullivan, PhD
        title:  Leadership Development for Every Statistician
        date:  Thursday, April 09, 2026
                   4:30 - 6:30 pm ET
        place:  Doris Research
                     536 E Market St
                     Indianapolis, IN
        cost:  FREE
        register: register on Zeffy 
     
    Gary is the co-developer and primary instructor for The Effective Statistician Leadership Program - a leadership training program aimed at pharmaceutical professionals. In 2018, Gary founded Espirer Leadership Consulting LLC after a 28-year career at Eli Lilly & Co. His company provides leadership training, coaching, and advising to statisticians and quantitative scientists. His clientele include over a dozen pharmaceutical companies and clinical research organizations and he has taught to over a 1,000 professionals. His programs focus on how to improve one's communication, presentations, strategic thinking, and business acumen. Gary earned his PhD from Iowa State University. During his time at Lilly, he held various technical and administrative roles retiring in 2017 as the Senior Director of Non-Clinical Statistics.
     
    Abstract
    Most leaders become leaders by studying, getting the right coaching and mentoring, developing and applying the proper skills, and continuously learning and growing through that process. In this talk, Gary will present how to get started on your journey to leadership and the needed skills and behaviors for you to grow as a leader. Specifically, Gary will focus on three primary questions:
          What is leadership?
          What skills do leaders have?
          How do you develop and apply these skills?
    Leadership development is a journey that takes many years and it may seem overwhelming at first. Gary will discuss some easy ways to get started quickly and to make progress fast.
  • Lunchtime virtual technical talk

    Join the Central Indiana Chapter for a virtual lunchtime presentation by Dr. Yong Zang of the IU Department of Biostatistics. This is a free event, but registration via Zoom is required.
     
         Title:  Bayesian Information Borrowing Prior for Longitudinal Data with Informative Dropout
         Speaker:  Dr. Yong Zang
                          Associate Professor
                          IU Department of Biostatistics
         Date:  Tuesday, February 10, 2026, Noon - 1:00 ET
         Register:  register on Zoom
    Abstract
    Borrowing information from historical controls can improve the efficiency of randomized controlled trials (RCTs), but its application to longitudinal outcomes with informative dropout remains limited. We propose two Bayesian mixture priors for longitudinal data information borrowing: the mixture prior for longitudinal data borrowing (MLB) and its self-adapting extension (SLB). Both approaches use a shared-parameter model to handle the informative dropout and apply a mixture prior framework to incorporate historical control data while accounting for possible prior-data conflict. Simulation studies show that the proposed priors yield desirable operating characteristics enabling efficient and rigorous information borrowing. In particular, the SLB prior demonstrates the best overall performance. 
     
    Speaker
    Dr. Yong Zang is a Showalter Scholar at the IU School of Medicine in the Department of Biostatistics and Health Data Science. Yong earned his PhD in 2011 from University of Hong Kong and has been with the Department of Biostatistics since 2016. His research interests include the theoretical, algorithmic, and software development for adaptive clinical trial design and analysis, methods and testing for statistical genetics, and Bayesian analysis.

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