$45 – $75

Fall Workshop for the Twin Cities Chapter of the ASA

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Location

Optum

12125 Technology Drive

Eden Prairie, MN 55344

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Refund Policy

Refunds up to 7 days before event

Eventbrite's fee is nonrefundable.

Event description

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The Twin Cities Chapter of the American Statistical Association is hosting the Fourth Annual Twin Cities ASA Fall Workshop on Friday, October 25, 2019 from 8:30am – 5:00pm. This event will be held at the Optum Conference Center located at 13625 Technology Drive in Eden Prairie, MN (Google Maps).

This one-day event will begin with a half-day short course entitled “Analysis of Big Healthcare Databases” conducted by Dr. Rebbeca Hubbard from the University of Pennsylvania, continue with an afternoon session that features invited speakers detailed below, and finish with a happy hour at a nearby establishment.

Short-course Abstract: The widespread adoption of electronic health records (EHR) as a means of documenting medical care has created a vast resource for the study of health conditions, interventions, and outcomes in routine clinical practice. Using healthcare databases, including EHR and administrative claims data, for research facilitates the efficient creation of large research databases, execution of pragmatic clinical trials, and study of rare diseases. Despite these advantages, there are many challenges for research conducted using these data. To make valid inference, statisticians must be aware of data generation, capture, and availability issues and utilize appropriate study designs and statistical analysis methods to account for these issues. In this course, we will discuss topics related to the design and analysis of research studies using big healthcare databases. We will cover issues related to the structure and quality of the data, including data types and methods for extracting variables of interest; sources of missing data; error in covariates and outcomes extracted from EHR and claims data; and data capture considerations such as informative visit processes and medical records coding procedures. In the second half of the course, we will discuss statistical approaches to address some of the challenges and unique features of healthcare databases, including missing data and error in automated algorithm-derived covariates and outcomes. We will also discuss some cutting-edge methods developed to address the unique challenges of this context such as privacy-preserving computation for use in distributed research networks. The overarching objective of this course is to provide participants with an introduction to the structure and content of healthcare databases and equip them with a set of appropriate tools to investigate and analyze this rich data resource.

About the instructor: Rebecca Hubbard is an Associate Professor of Biostatistics in the Department of Biostatistics, Epidemiology and Informatics at the University of Pennsylvania. Her methodological research emphasizes development of statistical tools to support valid inference for EHR-based analyses, accounting for complex data availability and data quality issues, and has been applied across a variety of domains including studies of cancer epidemiology, aging and dementia, and pharmacoepidemiology. She has experience conducting analyses using data from a number of large healthcare databases including Medicare, PCORnet, Kaiser Permanente, Flatiron Health, and Optum. Results of this work have been published in over 100 peer-reviewed papers in the statistical and medical literature. She has taught short courses at ENAR, the FDA, and the Summer Institutes in Statistical Genetics and Statistics for Clinical Research at the University of Washington over the past 10 years.

The afternoon session will feature the following invited speakers:

Nathan Paine, Quantitative Analytics Consultant, Wells Fargo
Dr. Jason Chan, Assistant Professor of Information & Decision Sciences, University of Minnesota
Dr. Karen Hildebrand, Co-Founder, Farm Femmes

Speaker abstracts can be found here on our website.

Your full-day registration fee covers the short course and invited speaker session, along with complimentary coffee, light breakfast, and afternoon snacks on-site (note that lunch is not included but there are options available for purchase on site). If you are not a current member of the Twin Cities ASA chapter, your registration fee also covers the cost of an annual chapter membership.

Breakfast
Muffins, Pastries, Scones, Yogurt, and Fresh Fruit with Berries. Beverages include Coffee, Hot Tea, and Orange Juice.

Lunch
On-site available at your own expense.

Parking
Parking is freely available on-site.

Program
8:30am Registration and Light Breakfast
9:00am Short Course by Dr. Rebbeca Hubbard (with breaks)
1:00pm Lunch (on your own)
2:30pm Invited Speaker Session
-- Nathan Paine
-- Dr. Jason Chan
-- Dr. Karen Hildebrand
4:30pm Happy Hour off-site

More information on the event can be found in the event flyer here on our website (http://amstatmn.org/).

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Date and Time

Location

Optum

12125 Technology Drive

Eden Prairie, MN 55344

View Map

Refund Policy

Refunds up to 7 days before event

Eventbrite's fee is nonrefundable.

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