Special ArticleSecondary Analysis of Existing Data Sets for Developmental Behavioral PediatricsLangkamp, Diane L. MD, MPH*; Barnes, Andrew J. MD, MPH†; Zuckerman, Katharine E. MD, MPH‡Author Information *Division of Developmental Behavioral Pediatrics, NeuroDevelopmental Science Center, Akron Children's Hospital, Akron, OH; †Division of Clinical Behavioral Neuroscience, Department of Pediatrics, University of Minnesota, Minneapolis, MN; ‡Division of General Pediatrics, Oregon Health & Science University, Oregon Health & Science University—Portland State University School of Public Health, Portland, OR. Address for reprints: Diane L. Langkamp, MD, NeuroDevelopmental Science Center, 215 West Bowery St, Akron, OH 44308; e-mail: [email protected]. Disclosure: The authors declare no conflict of interest. All authors contributed to the conception and design of the article and were involved in drafting and revising the article and have given it final approval. Journal of Developmental & Behavioral Pediatrics: May 2021 - Volume 42 - Issue 4 - p 322-330 doi: 10.1097/DBP.0000000000000915 Buy Metrics Abstract Secondary analysis of existing large, national data sets is a powerful method to address many of the complex, key research questions in developmental behavioral pediatrics (DBP). Major advantages include decreasing the time needed to complete a study and reducing expenses associated with research by eliminating the need to collect primary data. It can also increase the generalizability of research and, with some data sets, provide national estimates that may form the basis for developing policy. However, few resources are available to direct researchers who seek to develop expertise in this area. This study aims to guide investigators with limited experience in this area who wish to improve their skills in performing secondary analysis of existing large data sets. This study provides direction on the steps to perform secondary analysis of existing data sets. It describes where and how data sets can be identified to answer questions of interest to DBP. Finally, it offers an overview of a number of data sets relevant to DBP. Copyright © 2021 Wolters Kluwer Health, Inc. All rights reserved.