Activity Number:
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200
- Mental Health Statistics Section P.M. Roundtable Discussion (Added Fee)
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Type:
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Roundtables
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Date/Time:
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Monday, July 29, 2019 : 12:30 PM to 1:50 PM
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Sponsor:
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Mental Health Statistics Section
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Abstract #307371
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Title:
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Big Data Poses Bigger Questions in Mental Health Research
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Author(s):
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Samprit Banerjee*
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Companies:
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Weill Medical College, Cornell University
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Keywords:
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big data;
mental health;
electronic health records;
inference
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Abstract:
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The diagnostic complexity and irregularity of psychiatric disorders makes mental health research with “big” data (primarily electronic health records or EHR) challenging unlike medical illnesses such as heart disease and diabetes that have specific laboratory tests to specify diagnoses and severity. Moreover, the population representation of EHR is complicated due to the fragmented nature of US healthcare and especially mental healthcare. To deal with these complexities our discussion will focus on i) delineating the statistical issues with big data in mental health; ii) identifying issues that can be solved with existing methods or relatively modest extensions of existing methods and those that would need novel statistical thinking and long-term methodological research; and iii) what role should statisticians play in policing the inference made from such data using traditional statistical methods by the broader biomedical research community.
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Authors who are presenting talks have a * after their name.
