The first discussant will represent the National Institute on Drug Abuse and will provide insight into the use of existing data for research, including secondary data analysis priorities for the Institute, the use of data repositories and public use data sets, and data sharing expectations for NIH grantees. The second presenter will discuss potential research questions, analytical techniques, and considerations for the use of longitudinal epidemiological cohort data, sequential epidemiological data, and longitudinal prevention cohort data.
Using a recent NIDA-funded study as a demonstration case, the third discussant will describe the potential for leveraging administrative and electronic health records data from large health systems to inform prevention interventions. The fourth presenter will discuss opportunities to better identify moderators and/or mechanisms of prevention intervention effects using existing data and will describe the need for flexible approaches to analysis of data across multiple samples.
The final presenter will discuss lessons learned from conducting projects that integrate behavioral data with biological, social network, developmental, intergenerational, and geographic/GIS data using examples from a major longitudinal prevention study. The brief presentations will be followed by a robust discussion of how drug abuse and behavioral health research can be advanced using existing data sources; challenges faced in working with existing data, complex data, and older data; and the role of innovative analytic strategies in advancing prevention science.
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