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Chunk #8 — INTRODUCTION — Pooled Data Analysis: Why Now?

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Integrative data analysis in clinical psychology research.
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methodologically comparable datasets, or utilize public use data readily available” (PAR-10-018; NIDA, 2010). Other NIH initiatives have established data repositories for GWAS studies (the Database for Genotypes and Phenotypes, dbGAP; Mailman et al., 2007), autism research (the National Database for Autism Research, NDAR, 2011), and clinical trials of substance abuse (NIDA's Clinical Trials Network, 2012), seeking to incorporate common measures and data sharing into their research plans from the beginning phases of data collection. Other funded efforts, such as the Collaborative Data Synthesis for Adolescent Depression Trials study funded by NIMH (Northwestern University Feinberg School of Medicine, 2012) and NIDA's support of our three-study IDA and, support data pooling efforts as a secondary analysis design. Finally, NIH-supported measurement archives such as the Patient Reported Outcomes Measurement Information System (PROMIS) and the PhenX toolkit serve as resources for investigators as they initiate new data collection efforts, identifying “highly reliable, valid, flexible, precise, and responsive assessment tools” that can be widely used in independent studies to create a potentially broad data base for pooled analysis.