The 3rd Seattle Symposium on Health Care Data Analytics will bring together biostatisticians, health informaticists, epidemiologists, and other data scientists to discuss health research and methods that involve large health care databases. Expert speakers will share their research on:
Experts who are involved in national research initiatives that use large health care databases will discuss methodological challenges encountered in this setting and share ideas for addressing them.
Questions? Please send them to SeattleSymposium@kp.org.
Short courses (Monday, Oct. 22, 2018) include:
Data-driven decision making succeeds when data are transformed into reliable, interpretable information. Targeted Learning offers a principled statistical approach utilizing state-of-the-art machine learning to answer questions about health and safety, while still providing statistical inference in terms of confidence intervals and formal testing. The targeted learning framework combines two state-of-the-art methodologies, super learning (SL) for data adaptive machine learning, and targeted minimum loss-based estimation (TMLE) for efficient semi-parametric estimation. The course will motivate the use of targeted learning and provide a comprehensive overview of the framework. Real-world applications will be used to illustrate how targeted learning can be used to answer the kinds of complex questions that arise in practice.
Researchers and health care professionals can use well-designed statistical graphics to understand data and to guide viewers toward correct inferences. These graphics can also be powerful tools for communicating study findings. While statistical software makes it easy to produce standard figures, default options often leave much to be desired. The result can be figures that distract, confuse, or even distort data. In this workshop, participants will learn the fundamentals of effective data visualization and how to apply these fundamentals to create their own graphics. We will begin by reviewing general principles for displaying data, enabling viewers to make comparisons and identify trends and correlations. We will then show how to put these principles into practice, creating charts that are appropriate for a given dataset and that effectively use color and annotation. We will also walk through techniques for going beyond the default settings of some software packages to produce well-designed figures.
Tuesday, October 23: 8 a.m.–5 p.m.
Wednesday, October 24: 8 a.m.–12:30 p.m.
The symposium will be held at the Hyatt Olive 8 in downtown Seattle. See accommodation information below.
To register, please visit our online registration page. Space is limited—register today to reserve your spot!
Short Course #1: Targeting learning for data adaptive casual inference in observational and randomized studies, $325.
Short Course #2: Data Visualization, $225.
Short Course #1 and #2, $500. Registration for the short courses is now open. Symposium registration is required in order to attend the short courses.
Symposium Student registration: $175 (limited availability).
Symposium Standard registration: $350.
Symposium registration fees include a continental breakfast on Monday and Tuesday, as well as lunch on Monday.
All cancellation requests need to be made in writing and sent to SeattleSymposium@kp.org. Cancellations received on or before Monday October 15, 2018, will be subject to a full refund. Cancellations made after October 15, 2018, will not be refunded.
From Seattle-Tacoma International Airport (Sea-Tac):
The Hyatt Olive 8 offers easy valet parking at a rate of $55 per night (tax included). Guests have in-and-out privileges, so you can come and go as you please.
View map and driving directions on the hotel website.
The 3rd Seattle Symposium on Health Care Data Analytics is sponsored by the Biostatistics Unit at Kaiser Permanente Washington Health Research Institute (KPWHRI) and the Department of Biostatistics at the University of Washington (UW). Your conference hosts are Yates Coley, PhD and Andrea Cook, PhD of the KPWHRI Biostatistics Unit and Patrick Heagerty, PhD Chair of the Department of Biostatistics at the University of Washington (UW). Jennifer Bobb, Susan Shortreed, and Jennifer Nelson of the KPWHRI Biostatistics Unit also assisted in planning the symposium.
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